About Overview.ai
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments—from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments, you’ll recognize the pace—and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
Lead and grow a high-performance field team: applications engineers + technicians across regions.
Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
Coach your team to be fast, calm, and effective under pressure—especially when production is on the line.
3) Customer leadership (scope, expectations, urgency)
Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.
4) Process and systems building
Create the operational infrastructure that makes deployment scale:
onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.
5) Product feedback that changes the roadmap
Translate field pain into product improvements that make deployments faster and easier:
better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
Work closely with global engineering and product to push changes that remove recurring friction.
What success looks like
Deployments become predictable: faster ramp, fewer surprises, clear ownership.
Customers trust Overview.ai to scale: more lines, more factories, more expansion.
Your team operates like an elite unit: strong execution, great communication, high morale.
The product gets better because you turned field reality into roadmap wins
Who you are
Required
Proven track record leading complex, multi-site technical deployments in manufacturing environments
Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
Experience leading teams (hiring, training, performance management, developing strong ICs)
Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
High ownership, high discipline, high energy; you don’t wait to be told— you drive the outcome
Fluent Mandarin + strong English (written and spoken) for global coordination and customer exec communication
Experience in high-tempo environments
Familiarity with AI inspection / machine vision / automation deployments
Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum
A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
Massive ownership: your execution directly drives revenue and customer expansion
A high-caliber global team and direct reporting line to the founder
Career acceleration and one of the fastest growing US startups.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is not a cold start. We already have major logos, executive buy-in, and deployments running on real production lines, and we're taking that motion into new U.S. regions. You'll open new inspection points and new logos, then turn first-station wins into multi-line, multi-site rollouts. You can come from either side: a proven industrial seller with real technical depth, or a hands-on controls, automation, or vision engineer ready to own a number.
WHY THIS ROLE IS EXCITING
Territory ownership from day one: You own pipeline, forecast, and revenue, with credit across every site in the accounts you own.
Delta selling, not slick talk: You win on technical advantages you can demonstrate on the line.
Real support, not hero mode: You get a dedicated applications and engineering escalation path and a proven evaluation playbook.
Clear path up: Strategic Accounts, Regional Lead, player-coach, and GM-style territory ownership as we scale.
WHAT YOU'LL OWN
Territory revenue: Own pipeline, forecast, and revenue from BDR-sourced and inbound opportunities through close.
Technical discovery: Run high-signal discovery with Quality, Process, Automation, and Ops to find the real inspection problem and where the incumbent fails.
Hands-on demos and evaluations: Build recipes, demo on real parts, and own POCs end to end, from line access and acceptance criteria to the readout that converts.
Urgency and closing: Drive milestones to dates, unblock line access and integration issues early, and close without drift to next quarter.
Expansion: Turn first-station wins into repeatable rollouts across lines, plants, and inspection points.
Field presence: Live in the factory, with 60 to 80% travel across your territory.
WHO YOU ARE
Required
You've personally deployed, commissioned, or debugged automation, vision, or industrial hardware on a production floor.
You pick up a new technical product from its documentation and put it to work fast.
You explain technical concepts plainly to plant and quality engineers, and you say \"I don't know\" instead of guessing.
You've owned a number, earned commission, or driven a deal or expansion you can speak to with specifics. If you are more technical, you have experience on a factory floor and know how to engage with technical customers or stakeholders.
You do the homework and ask the right questions before you pitch.
You live in or will relocate to your territory, and you're energized by 60 to 80% travel.
Strong Preferences
Machine vision experience with Keyence, Cognex, or AI inspection vendors.
Manufacturing floor time in automotive, aerospace, or electronics.
PLC, controls, or automation
Startup or new-territory experience.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
Integrate Overview.ai systems into automation lines and make them rock-solid.
Commission and troubleshoot PLC-to-device communication across common industrial protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
Diagnose and eliminate timing and triggering issues:
double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
Debug inconsistent network communication:
packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
Work with PLC logic and machine sequencing to ensure correct system behavior:
interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
Build repeatable integration standards:
wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
Use multimeters and oscilloscopes to diagnose:
voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
Identify root cause quickly and implement robust fixes—not temporary patches.
Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
Capture high-quality issue reports for HQ engineering:
reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
5+ years in controls / automation / field engineering in high-volume manufacturing environments
Hands-on expertise with industrial networks and protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
Strong electrical debugging ability:
multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
Strong understanding of sensors, triggering, and real-time sequencing on production lines
Mandarin fluency (native or near-native)
Working English for technical communication with global teams
You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
You’re highly ownership-driven: downtime is personal
You communicate clearly with both operators and engineers
You enjoy the field: travel, factories, and getting your hands dirty
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is transforming manufacturing quality control with an advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enable faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.
We are seeking a Senior Software Development Engineer in Test to take technical ownership of quality architecture across our physical AI vision platforms. This role is deeply focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines.
In this role, you will design, build, and maintain the complex automated testing frameworks that ensure the reliability, performance, and accuracy of our mission-critical hardware and embedded software. This is a highly autonomous, hands-on role where you will operate at the intersection of hardware, embedded linux, dockerized edge applications, and AIoT architectures. You will define and execute the overarching programmatic quality strategy for complex devices deployed in rigorous, real-world manufacturing environments.
Automated End-to-End Testing: Design and execute fully programmatic E2E test flows that simulate real-world manufacturing inputs (e.g., synthetic video streams), trigger local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a strict environment.
Edge Automation Architecture: Architect and develop robust automated testing frameworks from scratch using Python, specifically targeting embedded Linux systems and edge AI devices.
Web Application & API Testing: Develop and maintain automated UI and API test suites for the web applications and local interfaces used by customers to configure, monitor, and interact with our vision systems.
Hardware-in-the-Loop (HIL) Testing: Build and scale HIL testing infrastructure to simulate factory environments, stress-testing physical camera systems under real-world compute, memory, and thermal constraints.
System-Level Debugging: Investigate complex failures spanning physical hardware, custom baseboards, Linux OS kernels, local network protocols (TCP/IP, RTSP), web application layers, and edge Docker containers.
4+ years of experience as a Software Development Engineer in Test (SDET), Embedded Test Engineer, or Software Engineer, with a proven track record of deep technical expertise and project ownership at a Senior or Staff level.
Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained embedded linux systems.
Expert proficiency in Python for building complex automation frameworks, CI/CD integrations, and device interaction tooling.
Proven experience testing web applications and APIs using modern automation frameworks (e.g., Playwright, Cypress, or Selenium).
Deep experience programmatically testing AIoT edge devices, embedded Linux systems, and local network protocols.
Professional experience with or a strong passion for utilizing AI agent tools to architect solutions and solve difficult technical problems efficiently.
Excellent problem-solving skills with an independent ownership mindset and the ability to confidently navigate ambiguity in a hardware-software co-design environment.
Experience validating computer vision applications, OpenCV, or real-time video processing streams.
Industrial automation background or familiarity with industrial network protocols (PLC, EtherNet/IP, Modbus, etc.).
High Agency, Zero Bureaucracy: You are coming in as a Senior Engineer, not a ticket-taker. You define the test architecture. You pick the tools. You decide how we validate our products. We hire smart people and get out of their way.
High Autonomy: We believe in highly autonomous and creative builders. You will have high ownership over your specific hardware and software testing domain.
Work Smarter, Not Harder: We don't just build AI; we use it. We love that you want to use AI agents to solve problems. We don't measure hours; we measure leverage. If you can use an AI agent to automate 80% of the grunt work, we’ll high-five you, not ask why you aren't typing.
Growth: Join a fast-growing, fast-moving, and profitable startup.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
Select and tune lighting for challenging surfaces and geometries:
bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
polarization (cross/parallel), glare suppression, specular management
strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
“2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
Select and deploy lenses and optical elements:
telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
mirrors/prisms for impossible mounting angles and constrained spaces
Push beyond visible light when needed:
IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
Diagnose and solve “weird” vision failure modes:
reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
Train customer teams (process/quality/ops) on:
daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
Create clear documentation and “golden configs” that make future rollouts faster.
Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
Participate in pre-sales technical discovery and solutioning:
help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
Feed market intelligence back into product and go-to-market teams.
Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
Strong practical knowledge of the lighting and lens landscape:
you understand the tradeoffs and failure modes, not just the catalog names
Ability to operate independently in factories and own outcomes
Mandarin fluency (native or near-native)
Working English for collaboration with global engineering/product teams
Strong communication skills: you can explain optical strategies clearly to customers and teammates
Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
Customers trust you as the vision expert who can solve “impossible” inspections.
You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
You help win deals by out-thinking incumbents and demonstrating superior solutioning.
You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
Integrate Overview.ai systems into automation lines and make them rock-solid.
Commission and troubleshoot PLC-to-device communication across common industrial protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
Diagnose and eliminate timing and triggering issues:
double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
Debug inconsistent network communication:
packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
Work with PLC logic and machine sequencing to ensure correct system behavior:
interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
Build repeatable integration standards:
wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
Use multimeters and oscilloscopes to diagnose:
voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
Identify root cause quickly and implement robust fixes—not temporary patches.
Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
Capture high-quality issue reports for HQ engineering:
reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
5+ years in controls / automation / field engineering in high-volume manufacturing environments
Hands-on expertise with industrial networks and protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
Strong electrical debugging ability:
multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
Strong understanding of sensors, triggering, and real-time sequencing on production lines
Mandarin fluency (native or near-native)
Working English for technical communication with global teams
You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
You’re highly ownership-driven: downtime is personal
You communicate clearly with both operators and engineers
You enjoy the field: travel, factories, and getting your hands dirty
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
Select and tune lighting for challenging surfaces and geometries:
bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
polarization (cross/parallel), glare suppression, specular management
strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
“2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
Select and deploy lenses and optical elements:
telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
mirrors/prisms for impossible mounting angles and constrained spaces
Push beyond visible light when needed:
IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
Diagnose and solve “weird” vision failure modes:
reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
Train customer teams (process/quality/ops) on:
daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
Create clear documentation and “golden configs” that make future rollouts faster.
Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
Participate in pre-sales technical discovery and solutioning:
help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
Feed market intelligence back into product and go-to-market teams.
Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
Strong practical knowledge of the lighting and lens landscape:
you understand the tradeoffs and failure modes, not just the catalog names
Ability to operate independently in factories and own outcomes
Mandarin fluency (native or near-native)
Working English for collaboration with global engineering/product teams
Strong communication skills: you can explain optical strategies clearly to customers and teammates
Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
Customers trust you as the vision expert who can solve “impossible” inspections.
You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
You help win deals by out-thinking incumbents and demonstrating superior solutioning.
You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
Integrate Overview.ai systems into automation lines and make them rock-solid.
Commission and troubleshoot PLC-to-device communication across common industrial protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
Diagnose and eliminate timing and triggering issues:
double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
Debug inconsistent network communication:
packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
Work with PLC logic and machine sequencing to ensure correct system behavior:
interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
Build repeatable integration standards:
wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
Use multimeters and oscilloscopes to diagnose:
voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
Identify root cause quickly and implement robust fixes—not temporary patches.
Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
Capture high-quality issue reports for HQ engineering:
reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
5+ years in controls / automation / field engineering in high-volume manufacturing environments
Hands-on expertise with industrial networks and protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
Strong electrical debugging ability:
multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
Strong understanding of sensors, triggering, and real-time sequencing on production lines
Mandarin fluency (native or near-native)
Working English for technical communication with global teams
You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
You’re highly ownership-driven: downtime is personal
You communicate clearly with both operators and engineers
You enjoy the field: travel, factories, and getting your hands dirty
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is transforming manufacturing by delivering advanced AI-powered vision inspection systems that ensure exceptional quality and efficiency. Our mission is to make manufacturing smarter, more precise, and scalable through innovative computer vision and robust, user-friendly software.
Founded by Silicon Valley engineers and former Tesla leaders, we support industry innovators like Tesla, SpaceX, Honda, and NVIDIA. We’re rapidly expanding and focused on providing the industry’s most effective and easy-to-deploy AI vision solutions.
We are looking for a talented and adaptable Application Engineer to become our inaugural team member in Bac Ninh, Vietnam. In this role, you will maintain and optimize over 100 AI vision inspection cameras installed across customer facilities in Hanoi and assist with new production line deployments.
This role calls for strong industrial automation expertise, a problem-solving mindset, and the ability to work independently while managing multiple customer sites. As the dedicated local expert, you will act as the primary technical contact for Bac Ninh customers, ensuring swift and reliable support as well as optimal system performance.
Maintain and optimize 100+ Overview.ai vision inspection cameras across Bac Ninh customer sites
Provide rapid troubleshooting to minimize production downtime
Perform regular preventive maintenance and system health checks
Oversee and coordinate a small team of contractors for routine tasks
Install, configure, and troubleshoot Overview.ai vision inspection systems on new production lines
Work with various PLC platforms and protocols, including Ethernet/IP, Profinet, Modbus, and OPC UA
Ensure seamless integration of AI inspection systems with factory automation equipment
Use multimeters and oscilloscopes to diagnose and fix electrical and signal quality issues
Deliver on-site technical support and guidance to customers
Conduct training programs for customer staff on operation and basic troubleshooting
Build trusted partnerships with factory teams, production management, and technical staff
Document and report recurring issues to enhance product features
Address technical challenges such as double triggering, camera response problems, or lighting inconsistencies
Adjust PLC ladder logic as needed to resolve integration issues
Refine inspection parameters to decrease false rejects while ensuring high detection accuracy
Collaborate with headquarters engineering teams for system improvements
Bachelor’s degree in Electrical Engineering, Automation, or a related discipline
3+ years of experience in automation, with proficiency across multiple PLC systems
Practical experience troubleshooting electrical circuits using diagnostic tools (multimeters, oscilloscopes)
Strong understanding of electrical concepts, including NPN/PNP sensor technology and signal conditioning
Familiarity with PLC ladder logic and ability to make necessary modifications
Experience managing contractors or small technical teams
Proficiency with industrial communication protocols (Ethernet/IP, Profinet, Modbus, OPC UA)
Capability to modify circuits (e.g., resistors, capacitors) to resolve signal problems
Knowledge of machine vision lighting and triggering systems
Excellent practical diagnostic and problem-solving skills
Working proficiency in English for technical documentation and coordination with HQ
Strong communication skills for client and team interactions
Mandarin language proficiency is an extremely strong plus
Vietnamese language proficiency is a strong plus, but not required
Experience with AI-based or automated vision inspection systems
Familiarity with automotive or electronics manufacturing environments
Prior knowledge of Overview.ai platforms or similar systems
Experience in high-volume production settings
Additional automation certifications or specialized training
Competitive compensation package with performance bonuses
Career growth opportunities in a high-paced, innovative environment
Technical training and professional development programs
Company-paid international travel for training and support in Asia
Work with industry-leading AI vision technology
Collaborative, global engineering teams
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
Select and tune lighting for challenging surfaces and geometries:
bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
polarization (cross/parallel), glare suppression, specular management
strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
“2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
Select and deploy lenses and optical elements:
telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
mirrors/prisms for impossible mounting angles and constrained spaces
Push beyond visible light when needed:
IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
Diagnose and solve “weird” vision failure modes:
reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
Train customer teams (process/quality/ops) on:
daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
Create clear documentation and “golden configs” that make future rollouts faster.
Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
Participate in pre-sales technical discovery and solutioning:
help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
Feed market intelligence back into product and go-to-market teams.
Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
Strong practical knowledge of the lighting and lens landscape:
you understand the tradeoffs and failure modes, not just the catalog names
Ability to operate independently in factories and own outcomes
Mandarin fluency (native or near-native)
Working English for collaboration with global engineering/product teams
Strong communication skills: you can explain optical strategies clearly to customers and teammates
Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
Customers trust you as the vision expert who can solve “impossible” inspections.
You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
You help win deals by out-thinking incumbents and demonstrating superior solutioning.
You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
The mission
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
● Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
● Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
● High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
● Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
● Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
● Select and tune lighting for challenging surfaces and geometries:
○ bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
○ polarization (cross/parallel), glare suppression, specular management
○ strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
○ “2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
● Select and deploy lenses and optical elements:
○ telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
○ filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
○ mirrors/prisms for impossible mounting angles and constrained spaces
● Push beyond visible light when needed:
○ IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
● Diagnose and solve “weird” vision failure modes:
○ reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
● Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
● Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
● Train customer teams (process/quality/ops) on:
○ daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
● Create clear documentation and “golden configs” that make future rollouts faster.
● Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
○ Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
● Participate in pre-sales technical discovery and solutioning:
○ help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
● Feed market intelligence back into product and go-to-market teams.
● Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
● Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
● Strong practical knowledge of the lighting and lens landscape:
○ you understand the tradeoffs and failure modes, not just the catalog names
● Ability to operate independently in factories and own outcomes
● Mandarin fluency (native or near-native)
● Working English for collaboration with global engineering/product teams
● Strong communication skills: you can explain optical strategies clearly to customers and teammates
● Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
● Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
● Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
● Customers trust you as the vision expert who can solve “impossible” inspections.
● You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
● You help win deals by out-thinking incumbents and demonstrating superior solutioning.
● You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Why Overview.ai (why top candidates join)
● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
","descriptionPlain":"ABOUT OVERVIEW.AI http://Overview.ai\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\nWe’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).\n\n\nThe mission\n\nOverview.ai http://Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.\n\nWe’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.\n\nThis role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.\n\n \n\n\nWHY THIS ROLE IS EXCITING\n\n● Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.\n\n\n● Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.\n\n\n● High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.\n\n\n● Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.\n\n\n● Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.\n\n\n \n\n\nWHAT YOU’LL OWN\n\n\n1) VISION STRATEGY: OPTICS + LIGHTING (CORE OF THE ROLE)\n\nYou will design and iterate the imaging solution that makes inspection reliable:\n\n● Select and tune lighting for challenging surfaces and geometries:\n\n\n○ bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups\n\n\n○ polarization (cross/parallel), glare suppression, specular management\n\n\n○ strobed lighting vs continuous, high-speed exposure strategies, motion-freezing\n\n\n○ “2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement\n\n\n● Select and deploy lenses and optical elements:\n\n\n○ telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate\n\n\n○ filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters\n\n\n○ mirrors/prisms for impossible mounting angles and constrained spaces\n\n\n● Push beyond visible light when needed:\n\n\n○ IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant\n\n\n● Diagnose and solve “weird” vision failure modes:\n\n\n○ reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift\n\n\nThe bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.\n\n\n2) PROJECT OWNERSHIP: DEPLOY, STABILIZE, SCALE\n\n● Own customer deployments end-to-end: planning, on-site execution, training, follow-through.\n\n\n● Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.\n\n\n● Train customer teams (process/quality/ops) on:\n\n\n○ daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.\n\n\n● Create clear documentation and “golden configs” that make future rollouts faster.\n\n\n\n3) COMPETITIVE EXPERTISE: HELP US WIN\n\n● Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:\n\n\n○ Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.\n\n\n● Participate in pre-sales technical discovery and solutioning:\n\n\n○ help position Overview.ai http://Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.\n\n\n● Feed market intelligence back into product and go-to-market teams.\n\n\n \n\n\nWHO YOU ARE\n\n\nREQUIRED\n\n● Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)\n\n\n● Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)\n\n\n● Strong practical knowledge of the lighting and lens landscape:\n\n\n○ you understand the tradeoffs and failure modes, not just the catalog names\n\n\n● Ability to operate independently in factories and own outcomes\n\n\n● Mandarin fluency (native or near-native)\n\n\n● Working English for collaboration with global engineering/product teams\n\n\n● Strong communication skills: you can explain optical strategies clearly to customers and teammates\n\n\n\nSTRONG PREFERENCES\n\n● Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)\n\n\n● Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)\n\n\n● Comfort running field experiments quickly and methodically (hypothesis → test → iterate)\n\n\n \n\n\nWHAT SUCCESS LOOKS LIKE\n\n● Customers trust you as the vision expert who can solve “impossible” inspections.\n\n\n● You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.\n\n\n● You help win deals by out-thinking incumbents and demonstrating superior solutioning.\n\n\n● You turn one-off optical victories into reusable playbooks, reference setups, and standards.\n\n\n\nWhy Overview.ai http://Overview.ai (why top candidates join)\n\n● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.\n\n\n● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n\n● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.\n\n\n● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.\n\n\n● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.\n\n"},{"id":"870af5e2-9e00-479a-8635-70f8225489ce","title":"Senior Field Engineer(Controls)","department":"Overview China","team":"Overview China","employmentType":"FullTime","location":"China","secondaryLocations":[],"publishedAt":"2026-03-19T08:20:05.446+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"China"}},"jobUrl":"https://jobs.ashbyhq.com/overview/870af5e2-9e00-479a-8635-70f8225489ce","applyUrl":"https://jobs.ashbyhq.com/overview/870af5e2-9e00-479a-8635-70f8225489ce/application","descriptionHtml":"Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is exciting
● Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
● Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
● High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
● Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
● High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
● Integrate Overview.ai systems into automation lines and make them rock-solid.
● Commission and troubleshoot PLC-to-device communication across common industrial protocols:
○ EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
● Diagnose and eliminate timing and triggering issues:
○ double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
● Debug inconsistent network communication:
○ packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
● Work with PLC logic and machine sequencing to ensure correct system behavior:
○ interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
● Build repeatable integration standards:
○ wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
● Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
○ NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
● Use multimeters and oscilloscopes to diagnose:
○ voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
● Identify root cause quickly and implement robust fixes—not temporary patches.
● Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
● Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
● Capture high-quality issue reports for HQ engineering:
○ reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
● Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
● Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
● 5+ years in controls / automation / field engineering in high-volume manufacturing environments
● Hands-on expertise with industrial networks and protocols:
○ EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
● Strong electrical debugging ability:
○ multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
● Strong understanding of sensors, triggering, and real-time sequencing on production lines
● Mandarin fluency (native or near-native)
● Working English for technical communication with global teams
● You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
● You’re highly ownership-driven: downtime is personal
● You communicate clearly with both operators and engineers
● You enjoy the field: travel, factories, and getting your hands dirty
Why Overview.ai (why top candidates join)
● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
","descriptionPlain":"ABOUT OVERVIEW.AI http://Overview.ai\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\nWe’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).\n\n\nWhy this role is exciting\n\n● Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.\n\n\n● Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.\n\n\n● High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.\n\n\n● Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.\n\n\n● High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.\n\n\n \n\n\nWHAT YOU’LL OWN\n\n\nCONTROLS + LINE INTEGRATION (CORE OF THE JOB)\n\n● Integrate Overview.ai http://Overview.ai systems into automation lines and make them rock-solid.\n\n\n● Commission and troubleshoot PLC-to-device communication across common industrial protocols:\n\n\n○ EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)\n\n\n● Diagnose and eliminate timing and triggering issues:\n\n\n○ double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes\n\n\n● Debug inconsistent network communication:\n\n\n○ packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)\n\n\n● Work with PLC logic and machine sequencing to ensure correct system behavior:\n\n\n○ interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance\n\n\n● Build repeatable integration standards:\n\n\n○ wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists\n\n\n\nELECTRICAL + SIGNAL INTEGRITY DEBUGGING (HANDS-ON)\n\n● Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:\n\n\n○ NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation\n\n\n● Use multimeters and oscilloscopes to diagnose:\n\n\n○ voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections\n\n\n● Identify root cause quickly and implement robust fixes—not temporary patches.\n\n\n\nFIELD LEADERSHIP + CUSTOMER TRUST\n\n● Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.\n\n\n● Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.\n\n\n● Capture high-quality issue reports for HQ engineering:\n\n\n○ reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes\n\n\n● Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).\n\n\n \n\n\nWHAT WE’RE LOOKING FOR\n\n\nREQUIRED\n\n● Deep PLC / controls engineering experience (you can independently commission and debug automation lines)\n\n\n● 5+ years in controls / automation / field engineering in high-volume manufacturing environments\n\n\n● Hands-on expertise with industrial networks and protocols:\n\n\n○ EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)\n\n\n● Strong electrical debugging ability:\n\n\n○ multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition\n\n\n● Strong understanding of sensors, triggering, and real-time sequencing on production lines\n\n\n● Mandarin fluency (native or near-native)\n\n\n● Working English for technical communication with global teams\n\n\n\nTRAITS THAT MATTER (WE SCREEN HARD FOR THESE)\n\n● You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence\n\n\n● You’re highly ownership-driven: downtime is personal\n\n\n● You communicate clearly with both operators and engineers\n\n\n● You enjoy the field: travel, factories, and getting your hands dirty\n\n\n\n\n\n\n\nWhy Overview.ai http://Overview.ai (why top candidates join)\n\n● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.\n\n\n● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n\n● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.\n\n\n● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.\n\n\n● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.\n\n"},{"id":"b4be1049-26a7-4985-866a-a6085fc87ca5","title":"Systems Integration Engineer","department":"Overview China","team":"Overview China","employmentType":"FullTime","location":"China","secondaryLocations":[],"publishedAt":"2026-03-19T08:22:42.441+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"China"}},"jobUrl":"https://jobs.ashbyhq.com/overview/b4be1049-26a7-4985-866a-a6085fc87ca5","applyUrl":"https://jobs.ashbyhq.com/overview/b4be1049-26a7-4985-866a-a6085fc87ca5/application","descriptionHtml":"Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
● You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
● High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
● Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
● Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
● High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
● Own the mechanical integration of camera + lens + lighting into customer automation machines:
○ mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
● Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
● Provide direct, practical feedback to machine builders to improve designs before metal is cut:
○ reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
● Specify integration requirements and best practices:
○ mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
● Anticipate long-term failure modes and design them out:
○ loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
● Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
● Support new line deployments and maintain/optimize systems already installed at customer sites.
● Diagnose issues that look “AI” but are actually mechanical/system integration problems:
○ intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
● Train customer teams and machine builders on integration best practices and basic troubleshooting.
● Document field learnings and turn them into repeatable standards, checklists, and reference designs.
● Strong mechanical/systems integration background in automation equipment or industrial machines
● Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
● Experience integrating components into machines with attention to:
○ tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
● Comfort in factory environments: commissioning, troubleshooting, and working hands-on
● Mandarin fluency (native or near-native)
● Working English for technical collaboration with global teams
● High ownership mindset: you take problems personally and drive them to closure
● Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
● Experience working with machine builders/integrators and managing design iteration loops
● Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Why Overview.ai (why top candidates join)
● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
","descriptionPlain":"ABOUT OVERVIEW.AI http://Overview.ai\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\nWe’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).\n\n\nThis role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.\n\nYou are still an Overview.ai http://Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.\n\n \n\n\nWHY THIS ROLE IS EXCITING\n\n● You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.\n\n\n● High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.\n\n\n● Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.\n\n\n● Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.\n\n\n● High travel + high autonomy: You’ll be trusted to represent Overview.ai http://Overview.ai at customer sites and with machine builders.\n\n\n \n\n\nWHAT YOU’LL OWN\n\n\nMECHANICAL INTEGRATION\n\n● Own the mechanical integration of camera + lens + lighting into customer automation machines:\n\n\n○ mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief\n\n\n● Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai http://Overview.ai integration standards.\n\n\n● Provide direct, practical feedback to machine builders to improve designs before metal is cut:\n\n\n○ reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability\n\n\n● Specify integration requirements and best practices:\n\n\n○ mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management\n\n\n● Anticipate long-term failure modes and design them out:\n\n\n○ loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex\n\n\n● Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.\n\n\n\nFIELD APPLICATIONS ENGINEERING (PRODUCTION OUTCOMES)\n\n● Support new line deployments and maintain/optimize systems already installed at customer sites.\n\n\n● Diagnose issues that look “AI” but are actually mechanical/system integration problems:\n\n\n○ intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination\n\n\n● Train customer teams and machine builders on integration best practices and basic troubleshooting.\n\n\n● Document field learnings and turn them into repeatable standards, checklists, and reference designs.\n\n\n \n\n\nWHO YOU ARE\n\n\nREQUIRED\n\n● Strong mechanical/systems integration background in automation equipment or industrial machines\n\n\n● Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)\n\n\n● Experience integrating components into machines with attention to:\n\n\n○ tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability\n\n\n● Comfort in factory environments: commissioning, troubleshooting, and working hands-on\n\n\n● Mandarin fluency (native or near-native)\n\n\n● Working English for technical collaboration with global teams\n\n\n● High ownership mindset: you take problems personally and drive them to closure\n\n\n\nSTRONG PREFERENCES\n\n● Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)\n\n\n● Experience working with machine builders/integrators and managing design iteration loops\n\n\n● Comfort partnering with controls engineers on timing/triggering and line sequencing constraints\n\n\n\nWhy Overview.ai http://Overview.ai (why top candidates join)\n\n● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.\n\n\n● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n\n● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.\n\n\n● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.\n\n\n● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.\n\n"},{"id":"47835158-4848-4d7d-939c-1d1667ca3232","title":"Application Controls Engineer - Southeast","department":"Overview US","team":"Overview US","employmentType":"FullTime","location":"United States | Field Based","secondaryLocations":[],"publishedAt":"2026-03-23T22:24:16.707+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/overview/47835158-4848-4d7d-939c-1d1667ca3232","applyUrl":"https://jobs.ashbyhq.com/overview/47835158-4848-4d7d-939c-1d1667ca3232/application","descriptionHtml":"We're building AI-powered quality control systems for manufacturing. Unlike generic machine vision, our systems are designed to integrate directly into production lines alongside existing PLCs and equipment. We work with companies like Tesla, SpaceX, and Amphenol, and we're deployed in real production environments right now, not pilots.
Our customers don't need another software tool. They need systems that actually work on their production line, integrate with their controls, and keep running under real manufacturing constraints.
You'll be the technical person making our systems work on the factory floor. This is hands-on field work: you'll install hardware, integrate with PLC systems, troubleshoot in real-time, and ensure vision systems are running reliably on production lines.
You'll own the technical execution from start to finish—from configuration through production validation. You'll work directly with customers, their maintenance teams, and their production engineers to get systems live and keep them running.
Key reality: This is 60–80% travel to manufacturing facilities. You'll spend weeks on-site at customer plants, working with equipment that doesn't stop, dealing with downtime pressure, and solving problems under real constraints.
Physically install Overview cameras and lighting on production lines
Configure systems to work with existing PLCs (Allen Bradley, Siemens, GE, Beckhoff)
Map I/O, set up communication protocols, and validate connectivity
Work directly with customer engineers and maintenance teams to coordinate integration around production schedules
Diagnose problems in real production environments: connector issues, electrical continuity, signal timing, encoder feedback, I/O mapping
Work with oscilloscopes, multimeters, network analyzers—and with your hands
Collaborate with plant electricians and equipment technicians when needed
Solve problems under the constraint of live production (no long redeploys, no taking systems offline without customer approval)
Validate system performance on actual production lines (speed, accuracy, reliability)
Tune systems for real-world constraints: lighting conditions, equipment vibration, material variations
Document configuration and create setup guides for customer teams
Train operators and engineers on system operation and basic troubleshooting
Be the technical point of contact during installation and ramp-up
Provide ongoing support during the first weeks of production operation
Respond to technical issues and help customers troubleshoot independently over time
Feed back real-world constraints and issues to the product team
3+ years working directly with PLC systems (Allen Bradley, Siemens, GE Automation, or similar)
Experience configuring I/O, programming logic, and troubleshooting connectivity
Comfortable reading PLC documentation and understanding ladder logic or structured text
Hands-on experience integrating systems with production equipment
You've installed, configured, or integrated hardware on production lines
You understand how to work with existing controls without breaking them
Ability to troubleshoot electrical and hardware issues on-site
You're comfortable with a multimeter, oscilloscope, or continuity tester
You understand basic electrical concepts (voltage, current, signal integrity)
You've diagnosed and fixed real-world hardware problems
Experience in live production environments
You've worked on manufacturing floors—assembly, packaging, machining, automotive, food processing, etc.
You understand downtime pressure and the reality of production constraints
Willingness to travel 60–80% to customer manufacturing facilities
You're comfortable being on-site for weeks at a time
You can work with customer shift schedules and production priorities
You want to be where the equipment is, not remote
Experience with vision systems or cameras in manufacturing (including setup, focus, lighting)
Familiarity with industrial communication protocols (Ethernet, Profibus, Modbus, serial)
Experience training operators and engineers on new systems
Comfort working independently and making technical decisions in the field
Track record of owning technical projects from start to finish
Background in plant engineering, maintenance, or manufacturing support
Experience with specific platforms: Allen Bradley CompactLogix/ControlLogix, Siemens S7-1200/S7-1500
Exposure to industrial networking or controls system security
Preferred location: Southeastern U.S., particularly Georgia, North Carolina, South Carolina, Alabama, or Tennessee.
Travel: 60–80% of time on-site at customer facilities across the US. Expect 1–2 week deployments, with some trips being shorter (3–5 days).
Real impact: Your work keeps production lines running
Technical growth: You'll expand across controls, vision, and AI systems
Autonomy: High ownership, minimal bureaucracy
Competitive compensation + equity (startup scaling trajectory)
Hardware and tools: You'll have what you need to do the job
Overview.ai is transforming manufacturing by delivering advanced AI-powered vision inspection systems that ensure exceptional quality and efficiency. Our mission is to make manufacturing smarter, more precise, and scalable through innovative computer vision and robust, user-friendly software.
Founded by Silicon Valley engineers and former Tesla leaders, we support industry innovators like Tesla, SpaceX, Honda, and NVIDIA. We’re rapidly expanding and focused on providing the industry’s most effective and easy-to-deploy AI vision solutions.
We are looking for a talented and adaptable Application Engineer to become our inaugural team member in Bangalore, India. In this role, you will maintain and optimize the deployment of AI vision inspection cameras at customer facilities in India and assist with training, maintenance, and other activities. In addition, we have significant inbound attention from India and this role can play a key role in building our new business activities in this region.
This role calls for strong industrial automation expertise, a problem-solving mindset, and the ability to work independently while managing multiple customer sites. As the dedicated local expert, you will act as the primary technical contact for Indian customers, ensuring swift and reliable support as well as optimal system performance.
Maintain and optimize Overview.ai vision inspection cameras across Indian customer sites
Provide rapid troubleshooting to minimize production downtime
Perform regular preventive maintenance and system health checks
Oversee and coordinate a small team of contractors for routine tasks
Install, configure, and troubleshoot Overview.ai vision inspection systems on new production lines
Work with various PLC platforms and protocols, including Ethernet/IP, Profinet, Modbus, and OPC UA
Ensure seamless integration of AI inspection systems with factory automation equipment
Use multimeters and oscilloscopes to diagnose and fix electrical and signal quality issues
Deliver on-site technical support and guidance to customers
Conduct training programs for customer staff on operation and basic troubleshooting
Build trusted partnerships with factory teams, production management, and technical staff
Document and report recurring issues to enhance product features
Address technical challenges such as double triggering, camera response problems, or lighting inconsistencies
Adjust PLC ladder logic as needed to resolve integration issues
Refine inspection parameters to decrease false rejects while ensuring high detection accuracy
Collaborate with headquarters engineering teams for system improvements
Bachelor’s degree in Electrical Engineering, Automation, or a related discipline
3+ years of experience in automation, ideally with experience across multiple PLC systems
Practical experience troubleshooting electrical circuits using diagnostic tools (multimeters, oscilloscopes)
Strong understanding of electrical concepts, including NPN/PNP sensor technology and signal conditioning
Familiarity with PLC ladder logic and ability to make necessary modifications
Experience managing contractors or small technical teams
Proficiency with industrial communication protocols (Ethernet/IP, Profinet, Modbus, OPC UA)
Capability to modify circuits (e.g., resistors, capacitors) to resolve signal problems
Knowledge of machine vision lighting and triggering systems
Excellent practical diagnostic and problem-solving skills
Working proficiency in English for technical documentation and coordination with HQ
Strong communication skills for client and team interactions
Proficiency in native Indian language (e.g., Kannada, Tamil, Hindi) is a strong plus
Mandarin language proficiency can be an extremely strong plus, but is not a requirement
Experience with AI-based or automated vision inspection systems
Familiarity with automotive or electronics manufacturing environments
Prior knowledge of Overview.ai platforms or similar systems
Experience in high-volume production settings
Additional automation certifications or specialized training
Competitive compensation package with performance bonuses
Career growth opportunities in a high-paced, innovative environment
Technical training and professional development programs
Company-paid international travel for training and support in Asia
Work with industry-leading AI vision technology
Collaborative, global engineering teams
Vision Sales Engineer
Monterrey, Nuevo León, Mexico · Field / Deployment · Full-time
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
Monterrey is one of the densest manufacturing corridors in the world, and Overview is early there. This is a hands-on field role based in Monterrey that puts you on factory floors 60 to 80% of the time, running everything from first technical discovery through production deployment. You will operate with real autonomy: no scripts, no hand-holding, and the judgment calls on the line are yours to make with Overview's engineering team behind you.
WHY THIS ROLE IS EXCITING
You are the first technical face of Overview in Monterrey, setting how this product gets deployed and scaled across the region.
Your impact is visible the same day: higher yield, lower scrap, fewer escapes, faster throughput.
You build deep expertise in AI vision inspection on real production lines, not in a lab.
Field insight from your deployments shapes what the product team builds next.
WHAT YOU'LL OWN
Deployment end to end: Carry customers from first conversation through onboarding to a system running in production.
Technical discovery: Lead discovery conversations, live demos, and onsite evaluations that turn a customer's pain point into a clear deployment plan.
Hands-on field work: Execute installations, debug issues on live equipment, and troubleshoot alongside manufacturing teams.
Use case identification: Find and qualify the highest-impact inspection opportunities inside each account.
Customer relationships: Build and hold the trusted-advisor relationship with key manufacturing partners across Monterrey and the surrounding industrial corridor.
Product feedback loop: Bring field insight back to engineering to inform product and deployment strategy.
WHO YOU ARE
Required
Based in Monterrey, or relocating there before starting.
Proven experience operating in industrial or manufacturing environments.
Experience in a customer-facing technical role (Applications Engineer, Field Engineer, Vision Engineer, Robotics Engineer, Automation Engineer, or similar).
Comfortable on a factory floor: you get hands-on with equipment, debug live issues, and support production without hesitating.
Able to run technical discovery, identify pain points, and translate them into a concrete deployment plan.
Professional working proficiency in both Spanish and English.
See 60 to 80% travel across Monterrey and nearby industrial regions as the point of the job, not a cost of it.
Strong Preferences
Direct experience with vision systems, robotics, automation, or other advanced manufacturing technologies.
Existing relationships across Monterrey area plants, whether automotive, appliance, or electronics.
Strong systems thinking and a structured approach to problem solving.
Energized by ambiguity and fast-moving environments.
Motivated to build deep technical expertise in AI vision inspection.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is transforming manufacturing by delivering advanced AI-powered vision inspection systems that ensure exceptional quality and efficiency. Our mission is to make manufacturing smarter, more precise, and scalable through innovative computer vision and robust, user-friendly software.
Founded by Silicon Valley engineers and former Tesla leaders, we support industry innovators like Tesla, SpaceX, Honda, and NVIDIA. We’re rapidly expanding and focused on providing the industry’s most effective and easy-to-deploy AI vision solutions.
We are looking for a talented and adaptable Application Engineer to become our inaugural team member in Penang, Malaysia. In this role, you will maintain and optimize over 100 AI vision inspection cameras installed across customer facilities in Indonesia and assist with new production line deployments.
This role calls for strong industrial automation expertise, a problem-solving mindset, and the ability to work independently while managing multiple customer sites. As the dedicated local expert, you will act as the primary technical contact for Indonesian customers, ensuring swift and reliable support as well as optimal system performance.
Maintain and optimize 100+ Overview.ai vision inspection cameras across Penang customer sites
Provide rapid troubleshooting to minimize production downtime
Perform regular preventive maintenance and system health checks
Oversee and coordinate a small team of contractors for routine tasks
Install, configure, and troubleshoot Overview.ai vision inspection systems on new production lines
Work with various PLC platforms and protocols, including Ethernet/IP, Profinet, Modbus, and OPC UA
Ensure seamless integration of AI inspection systems with factory automation equipment
Use multimeters and oscilloscopes to diagnose and fix electrical and signal quality issues
Deliver on-site technical support and guidance to customers
Conduct training programs for customer staff on operation and basic troubleshooting
Build trusted partnerships with factory teams, production management, and technical staff
Document and report recurring issues to enhance product features
Address technical challenges such as double triggering, camera response problems, or lighting inconsistencies
Adjust PLC ladder logic as needed to resolve integration issues
Refine inspection parameters to decrease false rejects while ensuring high detection accuracy
Collaborate with headquarters engineering teams for system improvements
Bachelor’s degree in Electrical Engineering, Automation, or a related discipline
3+ years of experience in automation, with proficiency across multiple PLC systems
Practical experience troubleshooting electrical circuits using diagnostic tools (multimeters, oscilloscopes)
Strong understanding of electrical concepts, including NPN/PNP sensor technology and signal conditioning
Familiarity with PLC ladder logic and ability to make necessary modifications
Experience managing contractors or small technical teams
Proficiency with industrial communication protocols (Ethernet/IP, Profinet, Modbus, OPC UA)
Capability to modify circuits (e.g., resistors, capacitors) to resolve signal problems
Knowledge of machine vision lighting and triggering systems
Excellent practical diagnostic and problem-solving skills
Working proficiency in English for technical documentation and coordination with HQ
Strong communication skills for client and team interactions
Mandarin language proficiency is an extremely strong plus
Malaysian language proficiency is a strong plus, but not required
Experience with AI-based or automated vision inspection systems
Familiarity with automotive or electronics manufacturing environments
Prior knowledge of Overview.ai platforms or similar systems
Experience in high-volume production settings
Additional automation certifications or specialized training
Competitive compensation package with performance bonuses
Career growth opportunities in a high-paced, innovative environment
Technical training and professional development programs
Company-paid international travel for training and support in Asia
Work with industry-leading AI vision technology
Collaborative, global engineering teams
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Location: United States (field-first; remote when not onsite)
Territory: U.S. (territory shaped around market opportunity and your location)
Travel: 60–80% (factory-heavy; regional + cross-regional)
Type: Full-time
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re one of the fastest-growing industrial AI companies in the world. We grew ~700% last year, tripled headcount, and expect to double or triple again as demand keeps accelerating—because the product works in production: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
We’re intentionally building this team across the U.S. strong candidates help define where we expand next. Your location, network, and ability to open and grow a region will directly shape your territory.
This is not a cold-start, 0→1 sales role. We already have major customers, executive buy-in, and proven deployments running in real factories today. Your job is to take that momentum and multiply it across factories, regions, and customer sites.
Turn warm introductions into live factory projects fast
Convert first-station wins into repeatable rollouts across lines and sites
Drive urgency and close expansions that don’t “drift to next quarter”
Unblock real-world constraints (technical, operational, organizational) that slow velocity
You’ll be selling at the exact moment manufacturing leadership is demanding AI outcomes. This is one of the easiest and most tangible ways for a factory to “enter AI” because it directly improves yield, scrap, throughput, and labor.
We’re supply constrained at times because demand is so strong—the more you’re out in the field, the more you will sell.
We’re not pre-allocating fixed territories, we’re building them intentionally around talent and opportunity.
Own pipeline, forecasting, and revenue outcomes across your region—typically anchored around where you’re based, with the opportunity to expand beyond it as you grow your accounts
Start with hunting—win new inspection points and new lines—then build into expansion as your accounts grow
Turn customer success into aggressive expansion across factories, lines, and inspection points
You’ll be dropped into meaningful accounts early so you can hit the ground running—top logos, real budgets, real urgency
Run high-signal discovery with Quality, Process, Automation, and Ops
Understand how customers currently solve inspection, where incumbents fail, and how to win
Position Overview clearly vs incumbents using real deltas: accuracy, deployability, operator usability, and platform capabilities
Partner with applications + engineering to propose practical deployment plans that win
Drive timelines: next steps, milestones, line access, data collection, acceptance criteria, decision makers
Identify blockers early (process readiness, resourcing, line access, mechanical stability, integration constraints) and push them to resolution
Own executive updates and communication cadence to keep deals moving
Build relationships that hold: plant champions → regional leaders → global decision makers
Negotiate and close with speed and precision
Be relentless about follow-up and execution—no “maybe next quarter” drift
If you own a major account, you get credit and commission for all sites across that customer’s U.S. footprint—regardless of how much help we bring in
Industry-leading AI models → higher accuracy on real-world variation
Edge-first + production-ready → deterministic performance in factories
A feature set competitors don’t have → you can win on clear deltas
Agentic workflows → deploying cameras is easier than ever, which shortens cycles and accelerates expansions
This is “delta selling” with a product customers genuinely want.
The key to winning isn’t slick talk—it’s becoming a product expert, running high-signal evaluations, and helping the customer move quickly.
This is a high-ownership role, but it is not hero mode. You’ll have a dedicated applications and engineering escalation path. We do not run hero mode as a strategy.
We also have a proven evaluation playbook and a defined path from first station to expansion—so you’re not inventing the process from scratch.
Track record as a top-performing seller in industrial/manufacturing technology (quota attainment, rankings, wins)
Technical fluency in automation + machine vision (credible with process/automation engineers)
You create urgency: you prospect, you follow up, you drive decisions
Excellent communication: concise, structured, confident with engineers and executives
High discipline and self-management: you operate with strong ownership of your region
Willingness to travel frequently to factories
You don’t need a traditional sales resume to be successful here.
If you’re a strong controls engineer / automation engineer / manufacturing engineer (or equivalent) from a top manufacturer, and you’re social, likeable, and want to step into a customer-facing role you can be a great fit.
This product sells itself when the evaluation is run correctly. The key to selling is becoming a product expert, earning trust on the factory floor, and driving decisions with clear execution.
OTE: $250K+ (top reps earn significantly more)
Uncapped commission with meaningful upside tied to expansion and rollout success
Generous equity in a hyper-growth startup
Medical insurance
Relocation support (if needed)
Company trips to industry events and gatherings + access to our San Francisco office
Field-first role with remote flexibility when not onsite
We’re scaling fast (we tripled headcount last year and expect major growth again).
This role has a clear path to:
Strategic Accounts
Regional Lead
Player-coach leadership
GM-style ownership of major customer footprints as the company scales
We build industrial AI cameras used by manufacturers around the world. Our products help customers detect issues in real time and improve manufacturing reliability across North America, Europe, and the Asia-Pacific region. Reliability is everything—when our cameras stop working, factory production can be affected.
Our engineering team is based in Taipei, with headquarters in San Francisco. We collaborate closely with software, AI, embedded, and customer engineering teams across multiple regions to build products trusted by manufacturers worldwide.
We're looking for an Engineering Intern to join our Taipei engineering team.
This internship focuses on software quality, testing, and automation. You'll start by learning our product through manual end-to-end testing, then gradually take on automated testing, CI workflows, and AI validation tasks. You'll work closely with experienced engineers while gaining hands-on experience building reliable software for real production environments.
This is an excellent opportunity for students interested in software engineering, web development, QA automation, or AI-powered products.
Execute end-to-end test cases for new features and product releases.
Verify product behavior and reproduce reported issues.
Identify edge cases and work with engineers to improve product quality.
Develop and maintain automated test scripts.
Improve testing coverage for new features.
Learn how automated testing integrates into our development workflow.
Help maintain and improve our continuous integration (CI) testing pipeline.
Investigate test failures and collaborate with engineers to improve reliability.
Validate AI model outputs and product behavior.
Help collect and organize testing data to improve our AI feedback loop.
Prepare cameras and testing devices for software validation.
Flash firmware and configure testing environments when needed.
Maintain testing equipment and keep the lab organized.
Currently pursuing (or recently completed) a degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related technical field.
Experience building software projects through coursework, hackathons, or personal projects.
Comfortable programming in JavaScript, TypeScript, Python, or another modern programming language.
Curious, detail-oriented, and eager to learn.
Able to collaborate effectively in a fast-paced engineering environment.
Experience with JavaScript/TypeScript and modern web development (HTML, CSS, React, etc.).
Familiarity with Git and collaborative software development.
Experience with testing frameworks such as Playwright, Cypress, Jest, or similar tools.
Basic understanding of networking concepts (HTTP, TCP/IP, IP configuration).
Familiarity with Linux and command-line tools.
Work on AI products deployed in manufacturing facilities around the world.
Learn directly from experienced software, AI, and embedded engineers.
Gain hands-on experience with software testing, automation, CI pipelines, and AI systems.
Own meaningful projects that directly improve product quality and reliability.
Join a fast-growing, profitable startup where interns contribute to real engineering work from day one.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a difficult inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
Select and tune lighting for challenging surfaces and geometries:
bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
polarization (cross/parallel), glare suppression, specular management
strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
“2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
Select and deploy lenses and optical elements:
telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
mirrors/prisms for impossible mounting angles and constrained spaces
Push beyond visible light when needed:
IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
Diagnose and solve “weird” vision failure modes:
reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
Train customer teams (process/quality/ops) on:
daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
Create clear documentation and “golden configs” that make future rollouts faster.
Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
Participate in pre-sales technical discovery and solutioning:
help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
Feed market intelligence back into product and go-to-market teams.
Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
Strong practical knowledge of the lighting and lens landscape:
you understand the tradeoffs and failure modes, not just the catalog names
Ability to operate independently in factories and own outcomes
Mandarin fluency (native or near-native)
Working English for collaboration with global engineering/product teams
Strong communication skills: you can explain optical strategies clearly to customers and teammates
Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
Customers trust you as the vision expert who can solve “impossible” inspections.
You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
You help win deals by out-thinking incumbents and demonstrating superior solutioning.
You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High travel + high autonomy: You’ll be trusted to represent Overview.ai at customer sites and with machine builders.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
Integrate Overview.ai systems into automation lines and make them rock-solid.
Commission and troubleshoot PLC-to-device communication across common industrial protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
Diagnose and eliminate timing and triggering issues:
double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
Debug inconsistent network communication:
packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
Work with PLC logic and machine sequencing to ensure correct system behavior:
interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
Build repeatable integration standards:
wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
Use multimeters and oscilloscopes to diagnose:
voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
Identify root cause quickly and implement robust fixes—not temporary patches.
Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
Capture high-quality issue reports for HQ engineering:
reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
5+ years in controls / automation / field engineering in high-volume manufacturing environments
Hands-on expertise with industrial networks and protocols:
EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
Strong electrical debugging ability:
multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
Strong understanding of sensors, triggering, and real-time sequencing on production lines
Mandarin fluency (native or near-native)
Working English for technical communication with global teams
You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
You’re highly ownership-driven: downtime is personal
You communicate clearly with both operators and engineers
You enjoy the field: travel, factories, and getting your hands dirty
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
We are putting an engineer on the ground in Mexicali to support a major manufacturing customer directly. This is a hands-on field role: you will install our cameras, integrate them with existing PLCs and controls, and keep vision systems running under live production constraints. Because you are local, you are the technical face of Overview at the plant, not a remote resource who flies in when something breaks. This is a strong role for a controls, mechatronics, or electrical engineer with a few years of automation experience who wants to move into AI vision systems.
Your work keeps production lines running. You will see the impact of what you build the same day you build it.
You will grow across three stacks at once: industrial controls, machine vision, and AI systems in production.
High ownership from day one. You own the technical execution at your site end to end, with minimal bureaucracy.
Direct line to the product team. The constraints you hit on the floor shape what we build next.
System installation: Physically install Overview cameras, lighting, and supporting hardware on production lines and validate the setup.
PLC integration: Configure our systems to work with existing PLCs (Allen Bradley, Siemens, GE, Beckhoff), map I/O, and set up communication protocols.
On-site troubleshooting: Diagnose connector, continuity, signal timing, encoder feedback, and I/O issues in live production without taking lines down.
Production validation: Confirm speed, accuracy, and reliability on real lines, and tune for lighting, vibration, and material variation.
Customer enablement: Train operators, maintenance, and engineers on system operation and first-line troubleshooting.
Deployment support: Be the technical point of contact through installation, ramp-up, and the first weeks of production operation.
Documentation: Write configuration records and setup guides the customer's team can actually use.
Product feedback: Feed real-world constraints and failure modes back to engineering.
1 to 3 years of hands-on experience in industrial automation, with a background in controls, mechatronics, or electrical engineering.
Direct experience with PLC systems (Allen Bradley, Siemens, or similar): configuring I/O, reading documentation, and troubleshooting connectivity. Comfortable with ladder logic or structured text.
Experience installing, configuring, or integrating hardware on live production equipment without breaking existing controls.
Able to troubleshoot electrical and hardware problems on-site with a multimeter, oscilloscope, or continuity tester, with a working understanding of voltage, current, and signal integrity.
Time on a manufacturing floor and an understanding of downtime pressure and production constraints.
Based in Mexicali or willing to relocate there, and able to work to customer shift schedules and production priorities.
Professional working proficiency in English and Spanish, since you will work with the local plant team and with Overview engineering.
Experience with vision systems or industrial cameras, including setup, focus, and lighting.
Familiarity with industrial communication protocols (Ethernet/IP, Profibus, Modbus, serial).
Experience training operators and engineers on new systems.
Comfort working independently and making technical calls in the field without waiting for backup.
Experience with specific platforms: Allen Bradley CompactLogix/ControlLogix, Siemens S7-1200/S7-1500.
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
We have product-market fit in North America and demand is accelerating faster than we can reach it. We grew roughly 700% last year and tripled headcount, and the constraint now is finding the real inspection problems hiding inside U.S. manufacturing accounts. This role is not first-touch outreach or meeting-booking. You uncover actual use cases, disqualify early when there is nothing there, and hand qualified opportunities to our Vision Sales Engineers with enough substance that they can run.
You are measured on qualification quality, not dials. A good conversation compounds. A bad meeting costs the team, and we manage to that.
You will learn how factories actually run: false positives, downtime, scrap, and the cost of a defect reaching a customer. That knowledge is rare and it transfers.
You get direct exposure to leadership and real input into how we position and sell into U.S. manufacturing from a LATAM base.
Strong BDRs at companies growing this fast do not stay BDRs long. We promote from within.
Target identification: Build and work a list of U.S. manufacturing accounts across automotive suppliers, electronics, industrial OEMs, food and beverage, and other high-volume production environments.
Decision-maker mapping: For each account, find the Quality or Engineering owner (Quality Manager, Manufacturing Engineer, Operations Lead) and reach them with outreach tailored to inspection problems we have already solved for similar plants.
Discovery: Lead with curiosity and get to the real blocker, whether that is cost, downtime, or false positives in their current system. Specifics, not symptoms.
Qualification and disqualification: Decide whether an opportunity is real and say so early. Walking away fast is part of the job.
Handoff to Vision Sales Engineers: Pass clean, actionable context when a genuine use case exists, then stay in the loop to learn what closed and what did not.
HubSpot hygiene: Consistent data, clear activity logs, notes a teammate could pick up cold.
Messaging iteration: Test outreach, track what resonates, and bring learnings back to the team. We adjust weekly.
Prior outbound sales experience as a BDR, SDR, inside sales rep, or equivalent.
Strong phone skills and sound outbound instincts.
Fluent, professional-level English, written and verbal. You are the primary voice to U.S. manufacturing prospects.
Based in LATAM with the ability to work U.S. business hours consistently, with Eastern or Central time overlap.
Comfortable in ambiguity and able to figure things out without close supervision.
High curiosity and genuine willingness to learn technical concepts.
Able to ask good questions and think critically about whether an opportunity is real.
Organized, reliable, and accountable for your own pipeline.
Manufacturing, SaaS, or technical sales background.
Experience selling into or supporting U.S. markets, and familiarity with U.S. industrial business norms.
Working knowledge of HubSpot, LinkedIn Sales Navigator, or Nooks.
Basic understanding of production processes or quality control.
Preferred locations for time zone overlap: Mexico City, Guadalajara, or Monterrey; Bogotá or Medellín; San José, Costa Rica; Panama City; Buenos Aires (partial Central overlap).
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is transforming manufacturing quality control with an advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enable faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.
We are seeking a Senior Full-Stack Engineer to build the web tools and GenAI applications that turn our edge-AI vision platform into products people use every day—both the customer-facing tool suite and the internal tooling that lets our teams move faster.
This is a hands-on, full-stack role. You'll own tools end-to-end, from a React/TypeScript interface down to the Python services behind it, and you'll be building on the frontier: LLM-powered assistants, synthetic data generation, and agent-style workflow builders that sit on top of our vision system. Think products like Auto-Defect Creator Studio, and Device Management Platform—plus the utilities that make the platform easier to run.
You'll operate with high autonomy in a small, fast team: you pick the approach, ship quickly, and iterate with real users.
GenAI Application Development: Design and build LLM-powered tools—AI copilots and expert assistants (documentation search, guided consultation), synthetic training-data generation, and agent-style flow builders—that make our vision platform smarter and easier to use.
Full-Stack Web Tools: Own web tools end-to-end, from React/TypeScript frontends to Python backends and APIs, spanning both customer-facing products and internal utilities (e.g., optics calculators, recipe analysis, log/telemetry tooling).
0→1 Product Building: Rapidly prototype new tools, get them in front of users, and iterate. You'll turn rough ideas into shipped products, then sharpen them based on real usage.
Platform Integration: Connect the tools to our edge-AI stack—camera fleet, inference outputs, recipes, and firmware—so they work against real inspection data, not toy examples.
Quality & Craft: Sweat performance, reliability, and UX. These tools are how customers and colleagues experience Overview; they should feel fast, clear, and trustworthy.
4+ years building full-stack web applications, with a proven track record of shipping products end-to-end at a Senior or Staff level.
Strong proficiency in React and TypeScript for building modern, polished web interfaces.
Strong proficiency in Python for backend services, APIs, and data/tooling work.
Experience building LLM-powered / GenAI product features—calling LLM APIs, prompt engineering, RAG, or agent workflows—or a strong passion and demonstrated aptitude for it.
A product mindset: you care about the user, make good judgment calls under ambiguity, and can drive a tool from idea to shipped without a detailed spec.
Professional experience with (or a strong passion for) using AI agent tools to architect solutions and solve difficult problems efficiently.
Hands-on experience with RAG infrastructure, vector databases, or agent-orchestration frameworks.
Experience with node-based / flow-builder UIs (e.g., React Flow), data visualization, or design systems.
Familiarity with computer vision, manufacturing, or industrial automation domains.
Docker and cloud deployment experience.
High Agency, Zero Bureaucracy: You come in as a senior builder, not a ticket-taker. You define the tools, pick the stack, and decide how they get built. We hire smart people and get out of their way.
Build on the Frontier: GenAI is core to what we're building, not a bolt-on. You'll ship real LLM-powered products to real manufacturers—and see them used on the factory floor.
Work Smarter, Not Harder: We don't just build AI; we use it. If you can lean on an AI agent to automate the grunt work, we'll high-five you, not ask why you aren't typing. We measure leverage, not hours.
Growth: Join a fast-growing, fast-moving, and profitable startup.
Overview builds edge-deployed AI vision systems that automate quality inspection on factory production lines. Our self-contained camera units capture images, run deep learning inference in real time, and drive pass/fail decisions directly to industrial PLCs — no cloud required. We ship a tightly integrated hardware + software + AI product into manufacturing environments across North America and China.
We're hiring a Staff Product Program Manager who owns scope and delivery of Overview products. This is a program manager with genuine product thinking. The product lead sets the roadmap and the \"why\", with input from insights on the ground from you; you own the \"what ships, when, and in what shape.\" When scope, quality, and date collide, you make the tradeoff call and you're accountable for the outcome.
The role spans release execution across all crossfunctional teams, such as hardware, firmware, and AI/ML workstreams; strategic customer deployment programs alongside our applications engineers and integration partners; and keeping our North America and China launches in sync.
Own program scope: translate roadmap themes into scoped, sequenced deliverables; own aligning on what's in, what's phased, and what's cut — and communicate those decisions with customer-impact rationale
Refine and pressure-test product specs written by others: close gaps, surface edge cases, and ensure specs are buildable and testable before engineering commits
Run release management end-to-end, including validation gates, OTA fleet rollouts, and the go/no-go call
Lead strategic customer deployment programs from pilot through production handoff
Synthesize field signal from sales and applications engineering into prioritized requirements and scope adjustments
Coordinate dual-market launches across North America and China, including localization and regional tradeoffs
5–8 years of program management experience, with several years running programs combining hardware and software deliverables (embedded systems, IoT, robotics, industrial equipment, or similar)
A track record of being accountable for scope decisions — in addition to tracking them. You can point to programs where you made tradeoffs and can defend why it was the right call
Product judgment: you evaluate scope through customer impact and business value in conjunction with engineering effort
Full release-cycle ownership for a shipping physical product, including field deployment
Strong written communication: tradeoff memos and postmortems that executives and engineers both actually read
Nice to have: exposure to industrial automation or machine vision, AI/ML product delivery experience, dual-market or international program experience.
You're making scope calls on an edge AI product where a software bug, a model regression, a camera hardware issue, or a PLC integration quirk can all look identical from the customer's factory floor. The role demands enough technical fluency to triage across those layers, enough product judgment to know which cut hurts customers least, and enough spine to make the call and own it.
","descriptionPlain":"ABOUT OVERVIEW\n\nOverview builds edge-deployed AI vision systems that automate quality inspection on factory production lines. Our self-contained camera units capture images, run deep learning inference in real time, and drive pass/fail decisions directly to industrial PLCs — no cloud required. We ship a tightly integrated hardware + software + AI product into manufacturing environments across North America and China.\n\n\nTHE ROLE\n\nWe're hiring a Staff Product Program Manager who owns scope and delivery of Overview products. This is a program manager with genuine product thinking. The product lead sets the roadmap and the \"why\", with input from insights on the ground from you; you own the \"what ships, when, and in what shape.\" When scope, quality, and date collide, you make the tradeoff call and you're accountable for the outcome.\n\nThe role spans release execution across all crossfunctional teams, such as hardware, firmware, and AI/ML workstreams; strategic customer deployment programs alongside our applications engineers and integration partners; and keeping our North America and China launches in sync.\n\n\nWHAT YOU'LL DO\n\n - Own program scope: translate roadmap themes into scoped, sequenced deliverables; own aligning on what's in, what's phased, and what's cut — and communicate those decisions with customer-impact rationale\n\n - Refine and pressure-test product specs written by others: close gaps, surface edge cases, and ensure specs are buildable and testable before engineering commits\n\n - Run release management end-to-end, including validation gates, OTA fleet rollouts, and the go/no-go call\n\n - Lead strategic customer deployment programs from pilot through production handoff\n\n - Synthesize field signal from sales and applications engineering into prioritized requirements and scope adjustments\n\n - Coordinate dual-market launches across North America and China, including localization and regional tradeoffs\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5–8 years of program management experience, with several years running programs combining hardware and software deliverables (embedded systems, IoT, robotics, industrial equipment, or similar)\n\n - A track record of being accountable for scope decisions — in addition to tracking them. You can point to programs where you made tradeoffs and can defend why it was the right call\n\n - Product judgment: you evaluate scope through customer impact and business value in conjunction with engineering effort\n\n - Full release-cycle ownership for a shipping physical product, including field deployment\n\n - Strong written communication: tradeoff memos and postmortems that executives and engineers both actually read\n\nNice to have: exposure to industrial automation or machine vision, AI/ML product delivery experience, dual-market or international program experience.\n\n\nWHY THIS ROLE IS HARD (AND INTERESTING)\n\nYou're making scope calls on an edge AI product where a software bug, a model regression, a camera hardware issue, or a PLC integration quirk can all look identical from the customer's factory floor. The role demands enough technical fluency to triage across those layers, enough product judgment to know which cut hurts customers least, and enough spine to make the call and own it.\n\n"},{"id":"8c201bc0-af6e-42d7-b1c7-c1ed264117ec","title":"Applications Manager","department":"Overview China","team":"Applications Team","employmentType":"FullTime","location":"Shenzhen, China","secondaryLocations":[],"publishedAt":"2026-08-20T09:59:24.995+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Guangdong","addressCountry":"People's Republic of China","addressLocality":"Shenzhen"}},"jobUrl":"https://jobs.ashbyhq.com/overview/8c201bc0-af6e-42d7-b1c7-c1ed264117ec","applyUrl":"https://jobs.ashbyhq.com/overview/8c201bc0-af6e-42d7-b1c7-c1ed264117ec/application","descriptionHtml":"About Overview.ai
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments—from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments, you’ll recognize the pace—and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
Lead and grow a high-performance field team: applications engineers + technicians across regions.
Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
Coach your team to be fast, calm, and effective under pressure—especially when production is on the line.
3) Customer leadership (scope, expectations, urgency)
Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.
4) Process and systems building
Create the operational infrastructure that makes deployment scale:
onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.
5) Product feedback that changes the roadmap
Translate field pain into product improvements that make deployments faster and easier:
better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
Work closely with global engineering and product to push changes that remove recurring friction.
What success looks like
Deployments become predictable: faster ramp, fewer surprises, clear ownership.
Customers trust Overview.ai to scale: more lines, more factories, more expansion.
Your team operates like an elite unit: strong execution, great communication, high morale.
The product gets better because you turned field reality into roadmap wins
Who you are
Required
Proven track record leading complex, multi-site technical deployments in manufacturing environments
Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
Experience leading teams (hiring, training, performance management, developing strong ICs)
Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
High ownership, high discipline, high energy; you don’t wait to be told— you drive the outcome
Fluent Mandarin + strong English (written and spoken) for global coordination and customer exec communication
Experience in high-tempo environments
Familiarity with AI inspection / machine vision / automation deployments
Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum
A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
Massive ownership: your execution directly drives revenue and customer expansion
A high-caliber global team and direct reporting line to the founder
Career acceleration and one of the fastest growing US startups.
Events & Partnerships Lead
San Francisco · Growth · Full time
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
Manufacturing is a relationship-driven industry, and the best opportunities rarely come from cold outreach. They come from trade show floors, industry associations, systems integrators, and the technology partners whose platforms sit alongside ours. We already have the product and the demand. What we do not have is one person who owns those channels. Today that work is split across leadership and happens in the gaps. This role makes it a function.
WHY THIS ROLE IS EXCITING
Build it, do not inherit it: No playbook, no existing team, no legacy program to maintain. You define what this function is at Overview, and you run it the way you think it should be run.
Technical depth is the point: This is not a sponsorship coordinator role and not a traditional marketing role. Your credibility with integrators and controls engineers is the asset.
Assets already waiting for an owner: Named technology partners, paid memberships we currently underuse, an integrator network we have not built out, and real demand from customers running in production.
Founder access and equity upside: Direct line to leadership, and your work visibly changes the company's trajectory.
WHAT YOU'LL OWN
Event calendar and execution: Own our shows end to end (IMTS, Automate, Semicon, Electronica, plus customer-hosted and partner events), including booth strategy, logistics, staffing, and on-site execution, and you demo the product yourself.
Event to pipeline motion: Build the repeatable mechanics behind every show: lead capture, structured follow-up, attribution in HubSpot, and ROI reported per event.
Association relationships: Own our relationships with industry associations and trade organizations in the space, including the paid memberships we currently underuse.
Technology partnerships: Own our Enterprise technology partner relationships including tier progression, joint content and co-marketing, mention approvals, and co-presence at events.
Referral program: Build a referral path for our marketing and technology partners so brand and co-marketing work also produces sourced pipeline.
Event assets: Own booth graphics, banners, and event signage. Product collateral, brochures, decks, one-pagers, and case studies sit with Technical Product Marketing, including event-specific versions, so you brief what you need rather than build it.
Cross-functional partnerships: Align expectations and release dates between sales and marketing so event promotion and demos land against what is actually shipping.
WHO YOU ARE
Required
You can stand on your own technically. Facilitate a live product demo, scope an inspection or integration use case, and hold a credible conversation with an integrator, controls engineer, or plant team with no sales engineer present.
You learn hard technology fast, and you can prove it. You have entered an unfamiliar technical domain and reached real fluency quickly, with something to point to beyond your job description. If you do not come from manufacturing, this is what gets you in the room.
You have owned a trade show, not just attended one. Booth through follow-up, at least once. You know what good looks like on a show floor, and you can tell us what the event produced and how you tracked it.
You build from zero and ramp fast. You have stood up a program with no playbook, no team, and unclear scope, and you get productive without a structure waiting for you.
You change your plan when the facts change. You take direct feedback and adjust in the moment rather than defending the original approach. You adopt how the team already works and improve on it rather than arriving with a fixed method.
You can sell to people who do not live on tech Twitter. Our customers are plant managers, controls engineers, and quality teams at established manufacturers. Software startup growth and community playbooks do not land here, and you understand why.
Willing to travel across North America and internationally, including Europe, to shows, customer sites, and partner organizations. Roughly 50% for the first two months and 25% ongoing.
Based in San Francisco, or ready to relocate. You need to be close to the team and the hardware to build demos and run event logistics.
Strong Preferences
Direct experience in machine vision, inspection, or industrial automation, as a vendor, at a systems integrator, or as an engineer in a manufacturing environment.
Technical understanding of machine vision in manufacturing, and how these systems apply across different manufacturing applications.
Co-marketing or co-sell experience with technology partners: joint webinars, co-marketing programs, or referral paths.
Existing relationships with systems integrators, distributors, or manufacturing associations.
Familiarity with HubSpot and modern GTM tooling.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
For this role, we are hiring people that speak fluent Chinese and are able to travel regularly to Shanghai, Shenzhen, Nantong, and possible Vietnam and Malaysia as well.
● Travel Frequency: 70% or above
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
We have product-market fit in North America and demand is accelerating faster than we can reach it. We grew roughly 700% last year and tripled headcount, and the constraint now is finding the real inspection problems hiding inside U.S. manufacturing accounts. This role is not first-touch outreach or meeting-booking. You uncover actual use cases, disqualify early when there is nothing there, and hand qualified opportunities to our Vision Sales Engineers with enough substance that they can run.
You are measured on qualification quality, not dials. A good conversation compounds. A bad meeting costs the team, and we manage to that.
You will learn how factories actually run: false positives, downtime, scrap, and the cost of a defect reaching a customer. That knowledge is rare and it transfers.
You get direct exposure to leadership and real input into how we position and sell into U.S. manufacturing from a LATAM base.
Strong BDRs at companies growing this fast do not stay BDRs long. We promote from within.
Target identification: Build and work a list of U.S. manufacturing accounts across automotive suppliers, electronics, industrial OEMs, food and beverage, and other high-volume production environments.
Decision-maker mapping: For each account, find the Quality or Engineering owner (Quality Manager, Manufacturing Engineer, Operations Lead) and reach them with outreach tailored to inspection problems we have already solved for similar plants.
Discovery: Lead with curiosity and get to the real blocker, whether that is cost, downtime, or false positives in their current system. Specifics, not symptoms.
Qualification and disqualification: Decide whether an opportunity is real and say so early. Walking away fast is part of the job.
Handoff to Vision Sales Engineers: Pass clean, actionable context when a genuine use case exists, then stay in the loop to learn what closed and what did not.
HubSpot hygiene: Consistent data, clear activity logs, notes a teammate could pick up cold.
Messaging iteration: Test outreach, track what resonates, and bring learnings back to the team. We adjust weekly.
Prior outbound sales experience as a BDR, SDR, inside sales rep, or equivalent.
Strong phone skills and sound outbound instincts.
Fluent, professional-level English, written and verbal. You are the primary voice to U.S. manufacturing prospects.
Based in LATAM with the ability to work U.S. business hours consistently, with Eastern or Central time overlap.
Comfortable in ambiguity and able to figure things out without close supervision.
High curiosity and genuine willingness to learn technical concepts.
Able to ask good questions and think critically about whether an opportunity is real.
Organized, reliable, and accountable for your own pipeline.
Manufacturing, SaaS, or technical sales background.
Experience selling into or supporting U.S. markets, and familiarity with U.S. industrial business norms.
Working knowledge of HubSpot, LinkedIn Sales Navigator, or Nooks.
Basic understanding of production processes or quality control.
Preferred locations for time zone overlap: Mexico City, Guadalajara, or Monterrey; Bogotá or Medellín; San José, Costa Rica; Panama City; Buenos Aires (partial Central overlap).
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview AI is a VC-funded, YC-backed company building edge AI vision systems for manufacturing quality inspection. Our all-in-one, edge-enabled cameras are used by leading global manufacturers including Tesla, SpaceX, and Amphenol. We grew roughly 700% last year and are scaling our team globally, including a growing engineering and operations presence in China.
Our China team is central to how we build and ship, and hiring here is one of the highest-leverage things we can do. We're looking for a senior recruiter to own talent acquisition for the region and set the standard for how we hire.
This is a seat for someone who has already run a desk at a high bar and is ready to own the function, shape the process, and be a genuine talent partner to the business. Not a req-processing seat.
You'll own recruiting for our China operation end to end, acting as the talent partner to hiring managers and working directly with the Global Head of Recruiting. You'll source, assess, and close senior and technical talent yourself, while building the playbook, calibration standards, and process that make hiring in the region repeatable and fast.
You set the bar and you raise it. You operate with full autonomy and are trusted to make the call.
Location: Shanghai, China — Hybrid or Remote
We expect this person to be based in China, ideally in Shanghai. This position will ideally be hybrid with the flexibility to work from home a few days each week, however for the right candidate we are open to fully remote. Given the pace of growth and the importance of close partnership with the local team, being close to the action is important.
Travel: Less than 15%
Own recruiting outcomes for the region, from hiring approach through accepted offer
Operate with full autonomy, anticipate blockers before they surface, and drive the process without oversight
Set the standard for how hiring runs in China and hold the bar as the team scales
Build the playbooks, calibration guides, and process that make strong hiring repeatable
Personally source senior and hard-to-fill talent, with low reliance on agencies
Proactively build a healthy mix of self-sourced and inbound pipeline
Own the regional talent map and maintain warm networks for priority and future roles
Develop a strong understanding of the manufacturing talent market in China and build relationships across relevant talent pools
Partner with hiring managers as an advisor, not an order-taker: shape the role, the bar, and the search strategy
Screen with discipline and deep alignment to what the business actually needs
Define what \"strong\" looks like for each role and bring HMs along to that bar
Help hiring managers understand the relevant talent market, including where strong candidates come from and how to attract them
Interview to vet exactly what a hiring manager needs to decide, and push back with evidence when the read is wrong
Give HMs the specific insight they need to move or cut candidates with confidence
Read motivation, working style, values, and culture fit well beyond the resume
Apply a high bar while understanding the nuances of manufacturing talent and the China market
Build authentic trust with senior candidates through thoughtful, timely communication
Tell the Overview story and attract talent credibly, without being sales-driven
Keep candidates and stakeholders aligned across time zones, balancing urgency with a world-class candidate experience
Mentor and raise the standard for others as the recruiting team grows
6+ years of full-cycle recruiting experience, with meaningful in-house or agency recruiting experience
A track record of independently owning senior and technical hiring at a high bar
Strong direct-sourcing ability and proven pipeline building without leaning heavily on agencies
Experience recruiting within manufacturing or other industrial environments, with a strong understanding of relevant talent pools and recruiting approaches
Demonstrated HM advisory: shaping roles and calibrating decisions, not just filling them
Self-directed, high-ownership operator who brings structure to ambiguity and needs no hand-holding
Fluent Mandarin and strong working English for a global team
Based in Shanghai or willing to work primarily from Shanghai
Experience standing up or scaling a recruiting function or process
Experience hiring across manufacturing, industrial technology, engineering, operations, or other hard-to-fill technical functions
Cross-border or global-team hiring experience
Experience building a playbook and coaching hiring teams and potential future sourcers/recruiters
Experience recruiting for a fast-growing company or startup environment
Quality over volume. We care about strong hires and clean process, not activity metrics.
High ownership. You own the function. No one looks over your shoulder.
Tight feedback loops. We iterate fast and you'll have direct exposure to leadership.
Direct and blameless. We name problems plainly and solve them together.
Own and shape recruiting for a region at one of the fastest-growing industrial AI companies in the world
Direct partnership with the Head of Recruiting and founder-level stakeholders
Help build and scale our recruiting engine in Shanghai, our China headquarters
Build the China hiring engine, don't just run it
Work closely with a rapidly growing local team and have a direct impact on how we scale
Work on a product that performs in real factories for world-class customers
Overview.ai is transforming manufacturing by delivering advanced AI-powered vision inspection systems that ensure exceptional quality and efficiency. Our mission is to make manufacturing smarter, more precise, and scalable through innovative computer vision and robust, user-friendly software.
Founded by Silicon Valley engineers and former Tesla leaders, we support industry innovators like Tesla, SpaceX, Honda, and NVIDIA. We’re rapidly expanding and focused on providing the industry’s most effective and easy-to-deploy AI vision solutions.
This is your chance to be part of a high-growth AI company transforming the future of manufacturing. As Fulfillment and Operations Specialist, you'll be at the heart of ensuring our customers receive world-class service and our operations run seamlessly across both our Shenzhen hub and our Hong Kong logistics operations.
Order Fulfillment
Own the end-to-end order process: from receipt to delivery.
Ensure timely picking, packing, and dispatch.
Track shipments and keep systems updated with real-time status.
Inventory Management
Monitor stock levels and trigger restocking proactively.
Maintain accurate records of movements, returns, and damaged goods.
Lead periodic audits to guarantee accuracy and reliability.
Manage inventory and order workflows in Cin7, our primary logistics and inventory platform.
Hong Kong Logistics
Travel to Hong Kong for at least one week per month to manage our logistics operations there on-site.
Coordinate shipments, inventory, and logistics partners on the Hong Kong side.
Customer & Partner Liaison
Be the go-to contact for customers on fulfillment and delivery.
Collaborate with suppliers, logistics partners, and internal teams to resolve issues quickly.
Data & Process Improvement
Analyze fulfillment and inventory data to spot inefficiencies.
Drive improvements that enhance speed, accuracy, and customer satisfaction.
Ensure compliance with company policies, safety standards, and best practices.
3+ years of experience in order fulfillment, logistics, or inventory management, including e-commerce operations.
Bachelor’s degree in logistics, supply chain, business, or a related field.
Fluent English and Chinese, and able to communicate clearly with customers, partners, and internal teams.
Hands-on experience with inventory and order management software. Cin7 experience is strongly preferred.
Very organized and detail-oriented, able to handle changing priorities and solve problems on your own or with the team.
Based in (or willing to relocate to) Shenzhen and able to work from our Guangming office every day.
Valid Hong Kong travel permit (e.g. EEP with valid endorsement) and willing to travel there about 3 days every two weeks.
A front-row seat in a rapidly growing AI company.
The chance to shape processes and make a direct impact.
A dynamic, innovative environment where your ideas matter.
Opportunities to grow alongside a world-class team.
Location: Bay Area
Reports to: COO
Travel: 30% to customer plants and field sales activity across North America and, where relevant, globally
Team: Leads the full sales organization (Strategic AMs, AEs, BDRs, and sales engineering), with authority to hire, coach, and structure the team to hit the number
Motion: Own the annual revenue number for Overview.ai. Build and lead the go-to-market motion that turns pilots into standards, and standards into networks.
Overview.ai is the industrial vision platform for zero-escape quality inspection on the factory floor. 2,000+ smart cameras deployed across 20+ countries, powering 100% inline inspection at the world's most demanding manufacturers in automotive, aerospace, consumer products, and steel & tube. Every camera runs 70 TOPS of on-device NVIDIA edge compute and vision-transformer models that train from as few as five sample images in under an hour. 100% edge, zero cloud, and every prediction stays on the customer's factory network.
Our largest customers didn't stop at one line, or even one plant. They took a first pilot, proved out zero escapes on the toughest inspection task in a single facility, and then standardized Overview.ai across every line, every plant, and every subsequent acquisition. Some now run 20 to 100+ cameras across a dozen sites.
Three products expand fastest across those installed bases: Defect Creator Studio (synthetic defect generation that cuts time-to-production by 12.4x), Haystack (continuous drift and failure-mode monitoring across every camera), and Integration Builder (no-code PLC / MES / HMI integration). The VP of Sales owns the go-to-market motion that turns those product truths into a repeatable, scaling revenue engine.
We're hiring a VP of Sales to own the revenue number for Overview.ai and lead the go-to-market motion that gets us there. This is a player-coach executive role. You will build, hire, coach, and lead the sales organization (Strategic AMs, AEs, and sales engineering). You will set and evolve the go-to-market strategy: ICP, segmentation, pricing, commercial frameworks, and forecast discipline. And you will personally own the executive relationship at our top named strategic accounts, because at this stage of the company, the VP of Sales still shows up on the customer's plant floor.
You will operate credibly in three rooms: on the plant floor with operators and controls engineers, in the boardroom with the customer's C-suite, and inside Overview.ai as the operational partner to the founders and product leadership. You will set the operating cadence (pipeline reviews, forecast, deal desk, QBRs) and own the outcomes that come out of it: forecast accuracy, win rate, deal velocity, ACV growth, net revenue retention. You are the internal owner accountable for every commitment the sales org makes to a customer being delivered on the line.
You will inherit a growing sales organization of Strategic AMs, AEs, BDRs, and sales engineering, with an active book of named enterprise manufacturer accounts already deployed and expanding: automotive Tier 1s, aerospace primes, global consumer product manufacturers, and steel & tube leaders. Team size, structure, and hiring plan will be built and evolved with you as you shape the go-to-market for the next stage of growth.
Hit the annual revenue number for Overview.ai, with a healthy pipeline coverage ratio and forecast accuracy inside industry benchmarks
Build the next stage of the sales organization: hire against a documented plan, ramp new sellers to productivity, and level up existing team members
Ship a repeatable enterprise expansion playbook that turns first-plant pilots into multi-plant, network-wide standards
Personally close or expand at least one marquee strategic account with a signed multi-year master agreement structured for continued expansion
Establish the operating cadence: forecast, pipeline reviews, deal desk, quarterly business reviews, and comp plan design that the org runs on
Deliver one flagship reference asset with a named enterprise customer (case study, joint keynote, or publicly announced deployment)
Own the annual revenue number for Overview.ai, and the forecast, pipeline, and commercial discipline that get us there
Build, hire, coach, and lead the sales organization: Strategic AMs, AEs, BDRs, and sales engineering, with a documented ramp and hiring plan
Set and evolve the go-to-market strategy: ICP definition, segmentation, territory design, pricing, packaging, and commercial frameworks
Run the operating cadence: weekly pipeline reviews, monthly forecast, quarterly business reviews, deal desk, and comp plan design
Personally own the executive relationship at our top named strategic accounts: VPs of Operations, VPs of Quality, Chief Manufacturing Officers, and where relevant, COO and CEO
Structure and evolve enterprise commercial frameworks: multi-year master agreements, expansion packaging, procurement navigation, and legal / security review coordination
Partner with the founders and product leadership on positioning, packaging, and product roadmap prioritization based on real market signal
Own sales enablement and the playbook library: prospecting, discovery, technical qualification, pilot conversion, and multi-plant expansion
Represent Overview.ai externally with customers, partners, industry analysts, and at industrial technology forums
Serve as the internal owner accountable for every customer commitment being delivered on the line, in partnership with engineering and delivery
15+ years in enterprise B2B sales, with at least 5 years in senior sales leadership (VP of Sales, Head of Sales, or CRO) at a growth-stage industrial technology, machine vision, industrial automation, or manufacturing software company
Track record of scaling a sales organization: hiring, coaching, and leading a team of at least 10 quota-carrying sellers, and taking a company through a meaningful revenue growth stage to $50M.
Direct experience selling into complex industrial or manufacturing environments: you know what a controls engineer does with their day, what a plant manager cares about, and what an SVP of Manufacturing wants to hear
Demonstrated executive-level presence: comfortable in the plant floor tour and the C-suite quarterly review, sometimes in the same day
Enterprise commercial fluency: multi-year MSAs, expansion frameworks, procurement navigation, legal and security review coordination, and pricing / packaging decisions that hold up under scrutiny
Operator's discipline on forecast, pipeline, deal desk, and comp plan design. You believe good sales orgs are built on operating cadence, not heroics.
Track record of building durable coalitions across manufacturing, quality, IT / OT, and executive sponsorship inside enterprise accounts
Ability to translate technical delivery outcomes into the business language operations leaders use: yield, scrap, COPQ, ramp-to-standard, safety
Willingness to travel 30% to customer plants and field sales activity
You believe machine vision is finally becoming useful after 20 years of overpromising, and you want to lead the go-to-market at the company defining the next stage of the category
The product actually works. 99%+ detection accuracy at line speed, up to 75% inspection cost reduction, zero escapes on lines where legacy vision failed for years. Customers name us their inspection standard.
The book is real. You inherit a defined roster of named enterprise accounts, each with an active deployment and a mapped expansion path. This is not \"here's a territory, go find some customers.\"
Expansion is engineered in. Our best customers grew from one line to 20+ in under 24 months. The product's economics compound inside the account, not against it.
The platform moves fast. Three agentic products shipped in the last year (Defect Creator Studio, Haystack, Integration Builder), each a new expansion vector across your book.
Built to last. Bootstrapped, profitable, no outside equity. No forced exit, no misaligned board, no re-org risk mid-cycle.
Founder-adjacent seat. You will operate as a direct partner to the founders and technical leadership, with the authority to shape the go-to-market for the next stage of the company.
For this position, we are hiring in the Shanghai/Haiyan region of China
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory roll-outs possible, not just pilots.
THE OPPORTUNITY
Overview.ai is expanding fast across China's electronics, connector, and precision-manufacturing plants, and every new project starts the same way: a customer shows us an inspection their current system cannot do, and someone has to prove, on real parts and a real line, that we can. That someone is you. As Technical Sales Engineer you are the technical half of a two-person account team with Sales: you run technical discovery, form the imaging strategy, validate it in the field, and write the report that wins the purchase order. You own the Validation phase end to end and hand a proven setup to the Application Engineer at kickoff.
This role carries no sales quota and no account ownership, and it does not own implementation after kickoff. Your job is to make the answer \"yes, and here is the proof\" as fast and as often as possible.
WHY THIS ROLE IS EXCITING
- You are the decision point between a lead and a factory deployment. Every inspection you prove out becomes cameras on a production line; your work shows up directly in the company's China growth.
- The hardest vision problems, at speed. Reflective metal, transparent plastic, tight geometry, high-speed presentation: problems that break traditional machine vision, solved in days of iteration rather than quarters.
- The expert in the room. You decide go or no-go, you own the imaging strategy, and customer engineers look to you for the answer, with a global engineering and product team behind you.
- New lines, new parts, new phenomena. Regional travel across the most advanced plants in your region; no two weeks look the same.
WHAT YOU'LL OWN
- Technical discovery: Lead technical discussions with Sales on first visits; clarify defect definitions, minimum defect size, cycle time, part presentation and variation; agree on test scope and acceptance criteria; and drive the internal go or no-go decision.
- Imaging strategy: Choose the lens, lighting, and camera configuration from the part and its environment (field of view, resolution, working distance, exposure, image stability), then validate it on samples and in the field.
- Feasibility validation: Run bench tests and on-site trials: mount the camera, wire basic trigger and input/output signals, build the inspection recipe, implement the pass/fail logic, and prove it under representative production conditions, bringing in the Application Engineer for deeper controls or network work.
- AI inspection validation: Collect representative good and defective samples, align labels with the customer's defect definitions, keep validation samples separate from setup data, and identify whether gaps come from imaging, sample coverage, or the model.
- Validation report: Write the English report with sample counts and defect coverage, missed defects (false accepts), false rejects, measured cycle time with defined boundaries, test conditions and limitations, and a conclusion of feasible, feasible with conditions, or not currently feasible against the agreed acceptance criteria; this is the document Sales uses to secure the purchase order.
- Win support and competitive positioning: Deliver demos, address technical objections, and compare Overview.ai with alternatives on application fit and measured evidence so Sales can secure the customer's technical acceptance.
- Kickoff hand-over: Review the validated setup with the Application Engineer (golden configuration, bill of materials, sample and validation data, acceptance criteria, known risks, open actions); the Application Engineer owns implementation within the validated scope, and when the imaging approach changes or a new item comes in, it returns to you as a new validation.
- Opportunity coordination and market feedback: Keep Sales and the internal team informed of test progress, blockers, and next steps across your opportunities, and feed new use cases, customer objections, and evidence-based competitive insights back to the product and go-to-market teams.
WHO YOU ARE
Required
- Hands-on machine vision experience (typically 3 or more years) with a heavy emphasis on lighting and optics, not just camera setup.
- Hands-on with advanced optical methods (telecentric, polarization, structured light, multi-angle illumination, spectral techniques), applied on real inspections.
- Track record proving difficult inspections in production environments: reflective or transparent surfaces, tight geometry, high speed, variable presentation.
- Able to set up a line trial by yourself: camera mounting, basic trigger and input/output wiring to a programmable logic controller or sensor, an inspection recipe, and pass/fail logic in a flow-based tool or basic scripting; willing to learn the Overview platform and Node-RED during onboarding.
- Writes clear, data-backed technical reports and reads documentation in English; can explain missed defects, false rejects, sample coverage, measured cycle time, and test limitations.
- Mandarin native or near-native; leads customer technical discussions independently and agrees on next steps with engineers, quality and production managers, Sales, and the internal team.
- Works in fast, structured iterations; resourceful when the problem is hard, does not give up on a difficult part, and knows when to escalate or recommend stopping.
- Based in the hiring region (Shenzhen or Xiamen for South China; Shanghai / Haiyan region, preferably Suzhou or Kunshan, for East China), willing to travel 50 to 70 percent within the region.
Strong Preferences
- Working knowledge of machine vision platforms (Cognex, Keyence, HALCON/MVTec, Hikrobot) or AI-based inspection tools, including their strengths, limitations, and application fit.
- Background in electronics, connector, automotive, or battery manufacturing.
- Spoken English fluency.
- Prior pre-sales or field application experience supporting a sales cycle, particularly as a Vision Engineer or Application Engineer at a machine vision system integrator or equipment manufacturer.
WHY OVERVIEW.AI
- Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
- Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
- Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
- Ownership: Your work directly changes the trajectory of the company.
- Global exposure: You'll work with the most advanced customers and factories in the world.
","descriptionPlain":"For this position, we are hiring in the Shanghai/Haiyan region of China\n\n\n\n\nTECHNICAL SALES ENGINEER SHENZHEN OR XIAMEN, CHINA · OVERVIEW CHINA |\n\n\nTECHNICAL SALES · FULL-TIME (EAST CHINA POSTING: SHANGHAI / HAIYAN REGION, PREFERABLY BASED IN SUZHOU OR KUNSHAN · OVERVIEW CHINA | TECHNICAL SALES · FULL-TIME)\n\n\n\nABOUT OVERVIEW.AI http://OVERVIEW.AI\n\n\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\n\n\nWe're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory roll-outs possible, not just pilots.\n\n\n\nTHE OPPORTUNITY\n\n\n\nOverview.ai http://Overview.ai is expanding fast across China's electronics, connector, and precision-manufacturing plants, and every new project starts the same way: a customer shows us an inspection their current system cannot do, and someone has to prove, on real parts and a real line, that we can. That someone is you. As Technical Sales Engineer you are the technical half of a two-person account team with Sales: you run technical discovery, form the imaging strategy, validate it in the field, and write the report that wins the purchase order. You own the Validation phase end to end and hand a proven setup to the Application Engineer at kickoff.\n\n\n\nThis role carries no sales quota and no account ownership, and it does not own implementation after kickoff. Your job is to make the answer \"yes, and here is the proof\" as fast and as often as possible.\n\n\n\nWHY THIS ROLE IS EXCITING\n\n\n\n- You are the decision point between a lead and a factory deployment. Every inspection you prove out becomes cameras on a production line; your work shows up directly in the company's China growth.\n\n- The hardest vision problems, at speed. Reflective metal, transparent plastic, tight geometry, high-speed presentation: problems that break traditional machine vision, solved in days of iteration rather than quarters.\n\n- The expert in the room. You decide go or no-go, you own the imaging strategy, and customer engineers look to you for the answer, with a global engineering and product team behind you.\n\n- New lines, new parts, new phenomena. Regional travel across the most advanced plants in your region; no two weeks look the same.\n\n\n\nWHAT YOU'LL OWN\n\n\n\n- Technical discovery: Lead technical discussions with Sales on first visits; clarify defect definitions, minimum defect size, cycle time, part presentation and variation; agree on test scope and acceptance criteria; and drive the internal go or no-go decision.\n\n- Imaging strategy: Choose the lens, lighting, and camera configuration from the part and its environment (field of view, resolution, working distance, exposure, image stability), then validate it on samples and in the field.\n\n- Feasibility validation: Run bench tests and on-site trials: mount the camera, wire basic trigger and input/output signals, build the inspection recipe, implement the pass/fail logic, and prove it under representative production conditions, bringing in the Application Engineer for deeper controls or network work.\n\n- AI inspection validation: Collect representative good and defective samples, align labels with the customer's defect definitions, keep validation samples separate from setup data, and identify whether gaps come from imaging, sample coverage, or the model.\n\n- Validation report: Write the English report with sample counts and defect coverage, missed defects (false accepts), false rejects, measured cycle time with defined boundaries, test conditions and limitations, and a conclusion of feasible, feasible with conditions, or not currently feasible against the agreed acceptance criteria; this is the document Sales uses to secure the purchase order.\n\n- Win support and competitive positioning: Deliver demos, address technical objections, and compare Overview.ai http://Overview.ai with alternatives on application fit and measured evidence so Sales can secure the customer's technical acceptance.\n\n- Kickoff hand-over: Review the validated setup with the Application Engineer (golden configuration, bill of materials, sample and validation data, acceptance criteria, known risks, open actions); the Application Engineer owns implementation within the validated scope, and when the imaging approach changes or a new item comes in, it returns to you as a new validation.\n\n- Opportunity coordination and market feedback: Keep Sales and the internal team informed of test progress, blockers, and next steps across your opportunities, and feed new use cases, customer objections, and evidence-based competitive insights back to the product and go-to-market teams.\n\n\n\nWHO YOU ARE\n\n\n\nRequired\n\n\n\n- Hands-on machine vision experience (typically 3 or more years) with a heavy emphasis on lighting and optics, not just camera setup.\n\n- Hands-on with advanced optical methods (telecentric, polarization, structured light, multi-angle illumination, spectral techniques), applied on real inspections.\n\n- Track record proving difficult inspections in production environments: reflective or transparent surfaces, tight geometry, high speed, variable presentation.\n\n- Able to set up a line trial by yourself: camera mounting, basic trigger and input/output wiring to a programmable logic controller or sensor, an inspection recipe, and pass/fail logic in a flow-based tool or basic scripting; willing to learn the Overview platform and Node-RED during onboarding.\n\n- Writes clear, data-backed technical reports and reads documentation in English; can explain missed defects, false rejects, sample coverage, measured cycle time, and test limitations.\n\n- Mandarin native or near-native; leads customer technical discussions independently and agrees on next steps with engineers, quality and production managers, Sales, and the internal team.\n\n- Works in fast, structured iterations; resourceful when the problem is hard, does not give up on a difficult part, and knows when to escalate or recommend stopping.\n\n- Based in the hiring region (Shenzhen or Xiamen for South China; Shanghai / Haiyan region, preferably Suzhou or Kunshan, for East China), willing to travel 50 to 70 percent within the region.\n\n\n\nStrong Preferences\n\n\n\n- Working knowledge of machine vision platforms (Cognex, Keyence, HALCON/MVTec, Hikrobot) or AI-based inspection tools, including their strengths, limitations, and application fit.\n\n- Background in electronics, connector, automotive, or battery manufacturing.\n\n- Spoken English fluency.\n\n- Prior pre-sales or field application experience supporting a sales cycle, particularly as a Vision Engineer or Application Engineer at a machine vision system integrator or equipment manufacturer.\n\n\n\nWHY OVERVIEW.AI http://OVERVIEW.AI\n\n\n\n- Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.\n\n- Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n- Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.\n\n- Ownership: Your work directly changes the trajectory of the company.\n\n- Global exposure: You'll work with the most advanced customers and factories in the world."},{"id":"a4bda123-a341-42e4-82fd-b3691e16ad32","title":"Applications Manager, Bac Ninh","department":"Overview Vietnam","team":"Applications","employmentType":"FullTime","location":"Bac Ninh","secondaryLocations":[],"publishedAt":"2026-09-08T06:45:02.030+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"Vietnam","addressLocality":"Bac Ninh City"}},"jobUrl":"https://jobs.ashbyhq.com/overview/a4bda123-a341-42e4-82fd-b3691e16ad32","applyUrl":"https://jobs.ashbyhq.com/overview/a4bda123-a341-42e4-82fd-b3691e16ad32/application","descriptionHtml":"About Overview.ai
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing - solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works - high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments - from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments, you’ll recognize the pace - and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
Lead a high-performance field team: applications engineers + technicians across regions.
Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
Coach your team to be fast, calm, and effective under pressure - especially when production is on the line.
3) Customer leadership (scope, expectations, urgency)
Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.
4) Process and systems building
Participate in the creation the operational infrastructure that makes deployment scale: onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.
5) Product feedback that changes the roadmap
Translate field pain into product improvements that make deployments faster and easier: better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
Work closely with global engineering and product to push changes that remove recurring friction.
What success looks like
Deployments become predictable: faster ramp, fewer surprises, clear ownership.
Customers trust Overview.ai to scale: more lines, more factories, more expansion.
Your team operates like an elite unit: strong execution, great communication, high morale.
The product gets better because you turned field reality into roadmap wins
Who you are
Required
Proven track record leading complex, multi-site technical deployments in manufacturing environments
Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
Experience leading teams (hiring, training, performance management, developing strong ICs)
Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
High ownership, high discipline, high energy; you don’t wait to be told, you drive the outcome
Fluent Mandarin, English and Vietnamese (written and spoken) for global coordination and customer exec communication
Ability and willingness to travel to China, Vietnam, and the US (location of the factories)
Strong background in Automation to be able to guide and decide for the hard technical decisions.
Experience in high-tempo environments
Familiarity with AI inspection / machine vision / automation deployments
Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum
A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
Massive ownership: your execution directly drives revenue and customer expansion
A high-caliber global team and direct reporting line to the Managing Director, APAC
Career acceleration and one of the fastest growing global startups.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
We're looking for a marketing leader who knows how to build a category and tell a story that engineers and operators actually believe. We have a product that wins on the factory floor; we need someone to build the narrative, the brand, and the industry presence that matches it. The best person for this role is fluent in the world of manufacturing and automation, credible with a technical audience, and just as comfortable shaping positioning as standing on a stage. This is a builder-leader role: senior enough to own the marketing P&L and build two teams while inheriting a couple headcount, hands-on enough to get into the detail of what our cameras actually do. You'll work directly with founders and report into the COO, sitting at the table where the company's trajectory gets decided.
WHY THIS ROLE IS EXCITING
Direct leadership & growth role: 18 month pathway to higher level positions for strong performers and a heavy mix of 0 -> 1 and 1 -> 100 with the opportunity to build your own team.
Own the category: AI computer vision for manufacturing is being defined right now. You'll shape how the market sees it.
A product that already wins: You're not manufacturing a story. You're telling a true one about a product deployed in real factories at scale.
Real ownership: You own the P&L, the brand, and two teams, with the autonomy to build the function the way it should be built.
Become the industry voice: You'll build Overview's presence across the automation world, through events, partnerships, and the kind of credibility that only comes from knowing the space cold.
WHAT YOU'LL OWN
Channel Creation and Ownership: Create an entire channel around the best possible events & channels themselves (i.e. machine builders) and develop a world-class marketing program to effectively reach and leverage those channels (ads, newsletters, events, etc.)
Product marketing: Lead the Product Marketing team; own messaging, launches, competitive positioning, and technical sales enablement.
Events and partnerships: Lead the Events and Partnerships team; own tradeshows, industry presence, and co-marketing relationships.
Industry presence and evangelism: Build Overview's voice in the manufacturing and automation community and represent the brand where the industry gathers.
Marketing P&L: Own the marketing budget and the outcomes it buys across your scope.
Technical fluency: Learn our camera and platform well enough to guide credible, technically accurate marketing.
Executive voice: Represent marketing at the leadership table and translate product capability into market strategy.
Brand and narrative: Own Overview's positioning, category story, and external presence end to end.
WHO YOU ARE
Required
Proven experience getting your hands dirty in marketing even with a recent track record of senior leadership experience (VP, Head of Marketing, or CMO), including owning a marketing P&L.
Track record leading and building marketing teams, including product marketing.
Manufacturing or industrial market experience: you understand how factories buy and what moves an industrial buyer.
Technical aptitude: you can learn a hardware-plus-AI product deeply enough to market it credibly, and you're comfortable in the technical detail.
Startup or scale-up experience: ideally having grown a company from Series B/C upward.
Strong Preferences
Industry-native credibility in manufacturing, automation, or industrial technology: known and trusted in the space, not new to it.
Machine vision, computer vision, or industrial automation background, with genuine technical fluency.
Strong public voice: a track record of category storytelling, evangelism, speaking, or building an audience in a technical market.
Experience owning events, partnerships, or community-building as a growth motion.
Built a category or led positioning for a technical product in an emerging market.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
High ownership + customer impact: The team is fully based in Taipei, with regular travel to different customer sites across Taiwan. You’ll work closely with customers and machine builders on-site and collaborate with the Product Team at our Taipei office.
Own the mechanical integration of camera + lens + lighting into customer automation machines:
mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards.
Provide direct, practical feedback to machine builders to improve designs before metal is cut:
reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
Specify integration requirements and best practices:
mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
Anticipate long-term failure modes and design them out:
loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
Support new line deployments and maintain/optimize systems already installed at customer sites.
Diagnose issues that look “AI” but are actually mechanical/system integration problems:
intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
Train customer teams and machine builders on integration best practices and basic troubleshooting.
Document field learnings and turn them into repeatable standards, checklists, and reference designs.
Strong mechanical/systems integration background in automation equipment or industrial machines
Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
Experience integrating components into machines with attention to:
tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability
Comfort in factory environments: commissioning, troubleshooting, and working hands-on
Willingness and ability to be based in Taipei, with regular travel to customer sites across Taiwan.
Mandarin fluency (native or near-native)
Working English for technical collaboration with global teams
High ownership mindset: you take problems personally and drive them to closure
Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly)
Experience working with machine builders/integrators and managing design iteration loops
Comfort partnering with controls engineers on timing/triggering and line sequencing constraints
Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
Global exposure: You’ll work with advanced customers and factories across Taiwan and the broader APAC region.
About Overview.ai
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments—from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments, you’ll recognize the pace—and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
Lead and grow a high-performance field team: applications engineers + technicians across regions.
Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
Coach your team to be fast, calm, and effective under pressure—especially when production is on the line.
3) Customer leadership (scope, expectations, urgency)
Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.
4) Process and systems building
Create the operational infrastructure that makes deployment scale:
onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.
5) Product feedback that changes the roadmap
Translate field pain into product improvements that make deployments faster and easier:
better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
Work closely with global engineering and product to push changes that remove recurring friction.
What success looks like
Deployments become predictable: faster ramp, fewer surprises, clear ownership.
Customers trust Overview.ai to scale: more lines, more factories, more expansion.
Your team operates like an elite unit: strong execution, great communication, high morale.
The product gets better because you turned field reality into roadmap wins
Who you are
Required
Proven track record leading complex, multi-site technical deployments in manufacturing environments
Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
Experience leading teams (hiring, training, performance management, developing strong ICs)
Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
High ownership, high discipline, high energy; you don’t wait to be told— you drive the outcome
Fluent Mandarin + strong English (written and spoken) for global coordination and customer exec communication
Experience in high-tempo environments
Familiarity with AI inspection / machine vision / automation deployments
Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum
A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
Massive ownership: your execution directly drives revenue and customer expansion
A high-caliber global team and direct reporting line to the founder
Career acceleration and one of the fastest growing US startups.
For this position, we are hiring in the Shenzhen region of China
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
The mission
Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.
We’re hiring a top-tier Technical Sales Engineer for our Vision Applications in the Shenzhen region of China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.
This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.
● Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.
● Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.
● High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.
● Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.
● Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.
You will design and iterate the imaging solution that makes inspection reliable:
● Select and tune lighting for challenging surfaces and geometries:
○ bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups
○ polarization (cross/parallel), glare suppression, specular management
○ strobed lighting vs continuous, high-speed exposure strategies, motion-freezing
○ “2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement
● Select and deploy lenses and optical elements:
○ telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate
○ filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters
○ mirrors/prisms for impossible mounting angles and constrained spaces
● Push beyond visible light when needed:
○ IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant
● Diagnose and solve “weird” vision failure modes:
○ reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift
The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.
● Own customer deployments end-to-end: planning, on-site execution, training, follow-through.
● Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.
● Train customer teams (process/quality/ops) on:
○ daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.
● Create clear documentation and “golden configs” that make future rollouts faster.
● Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:
○ Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.
● Participate in pre-sales technical discovery and solutioning:
○ help position Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.
● Feed market intelligence back into product and go-to-market teams.
● Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)
● Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)
● Strong practical knowledge of the lighting and lens landscape:
○ you understand the tradeoffs and failure modes, not just the catalog names
● Ability to operate independently in factories and own outcomes
● Mandarin fluency (native or near-native)
● Working English for collaboration with global engineering/product teams
● Strong communication skills: you can explain optical strategies clearly to customers and teammates
● Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)
● Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)
● Comfort running field experiments quickly and methodically (hypothesis → test → iterate)
● Customers trust you as the vision expert who can solve “impossible” inspections.
● You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.
● You help win deals by out-thinking incumbents and demonstrating superior solutioning.
● You turn one-off optical victories into reusable playbooks, reference setups, and standards.
Why Overview.ai (why top candidates join)
● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
","descriptionPlain":"For this position, we are hiring in the Shenzhen region of China\n\n\n\n\nABOUT OVERVIEW.AI http://Overview.ai\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\nWe’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).\n\n\nThe mission\n\nOverview.ai http://Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists.\n\nWe’re hiring a top-tier Technical Sales Engineer for our Vision Applications in the Shenzhen region of China—someone who can walk up to a nasty inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious.\n\nThis role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery.\n\n\n\nWHY THIS ROLE IS EXCITING\n\n● Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end.\n\n\n● Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime.\n\n\n● High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end.\n\n\n● Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments.\n\n\n● Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting.\n\n\n\nWHAT YOU’LL OWN\n\n\n1) VISION STRATEGY: OPTICS + LIGHTING (CORE OF THE ROLE)\n\nYou will design and iterate the imaging solution that makes inspection reliable:\n\n● Select and tune lighting for challenging surfaces and geometries:\n\n\n ○ bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups\n\n\n ○ polarization (cross/parallel), glare suppression, specular management\n\n\n ○ strobed lighting vs continuous, high-speed exposure strategies, motion-freezing\n\n\n ○ “2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement\n\n\n● Select and deploy lenses and optical elements:\n\n\n ○ telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate\n\n\n ○ filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters\n\n\n ○ mirrors/prisms for impossible mounting angles and constrained spaces\n\n\n● Push beyond visible light when needed:\n\n\n ○ IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant\n\n\n● Diagnose and solve “weird” vision failure modes:\n\n\n ○ reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift\n\n\nThe bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field.\n\n\n2) PROJECT OWNERSHIP: DEPLOY, STABILIZE, SCALE\n\n● Own customer deployments end-to-end: planning, on-site execution, training, follow-through.\n\n\n● Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup.\n\n\n● Train customer teams (process/quality/ops) on:\n\n\n ○ daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable.\n\n\n● Create clear documentation and “golden configs” that make future rollouts faster.\n\n\n\n3) COMPETITIVE EXPERTISE: HELP US WIN\n\n● Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings:\n\n\n ○ Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players.\n\n\n● Participate in pre-sales technical discovery and solutioning:\n\n\n ○ help position Overview.ai http://Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine.\n\n\n● Feed market intelligence back into product and go-to-market teams.\n\n\n\nWHO YOU ARE\n\n\nREQUIRED\n\n● Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”)\n\n\n● Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation)\n\n\n● Strong practical knowledge of the lighting and lens landscape:\n\n\n ○ you understand the tradeoffs and failure modes, not just the catalog names\n\n\n● Ability to operate independently in factories and own outcomes\n\n\n● Mandarin fluency (native or near-native)\n\n\n● Working English for collaboration with global engineering/product teams\n\n\n● Strong communication skills: you can explain optical strategies clearly to customers and teammates\n\n\n\nSTRONG PREFERENCES\n\n● Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.)\n\n\n● Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques)\n\n\n● Comfort running field experiments quickly and methodically (hypothesis → test → iterate)\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n● Customers trust you as the vision expert who can solve “impossible” inspections.\n\n\n● You consistently deliver stable, repeatable imaging configurations that make AI performance excellent.\n\n\n● You help win deals by out-thinking incumbents and demonstrating superior solutioning.\n\n\n● You turn one-off optical victories into reusable playbooks, reference setups, and standards.\n\n\n\nWhy Overview.ai http://Overview.ai (why top candidates join)\n\n● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.\n\n\n● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n\n● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.\n\n\n● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.\n\n\n● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.\n\n"},{"id":"2bb3df66-4290-48b0-b1f0-27852872d0b2","title":"Applications Manager","department":"Overview China","team":"Applications Team","employmentType":"FullTime","location":"Shanghai, China","secondaryLocations":[],"publishedAt":"2026-09-11T15:57:00.002+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Shanghai","addressCountry":"People's Republic of China","addressLocality":"Shanghai"}},"jobUrl":"https://jobs.ashbyhq.com/overview/2bb3df66-4290-48b0-b1f0-27852872d0b2","applyUrl":"https://jobs.ashbyhq.com/overview/2bb3df66-4290-48b0-b1f0-27852872d0b2/application","descriptionHtml":"About Overview.ai
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments—from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments, you’ll recognize the pace—and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
Lead and grow a high-performance field team: applications engineers + technicians across regions.
Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
Coach your team to be fast, calm, and effective under pressure—especially when production is on the line.
3) Customer leadership (scope, expectations, urgency)
Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.
4) Process and systems building
Create the operational infrastructure that makes deployment scale:
onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.
5) Product feedback that changes the roadmap
Translate field pain into product improvements that make deployments faster and easier:
better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
Work closely with global engineering and product to push changes that remove recurring friction.
What success looks like
Deployments become predictable: faster ramp, fewer surprises, clear ownership.
Customers trust Overview.ai to scale: more lines, more factories, more expansion.
Your team operates like an elite unit: strong execution, great communication, high morale.
The product gets better because you turned field reality into roadmap wins
Who you are
Required
Proven track record leading complex, multi-site technical deployments in manufacturing environments
Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
Experience leading teams (hiring, training, performance management, developing strong ICs)
Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
High ownership, high discipline, high energy; you don’t wait to be told— you drive the outcome
Fluent Mandarin + strong English (written and spoken) for global coordination and customer exec communication
Experience in high-tempo environments
Familiarity with AI inspection / machine vision / automation deployments
Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum
A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
Massive ownership: your execution directly drives revenue and customer expansion
A high-caliber global team and direct reporting line to the founder
Career acceleration and one of the fastest growing US startups.
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is exciting
● Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.
● Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.
● High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.
● Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.
● High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.
● Integrate Overview.ai systems into automation lines and make them rock-solid.
● Commission and troubleshoot PLC-to-device communication across common industrial protocols:
○ EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)
● Diagnose and eliminate timing and triggering issues:
○ double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes
● Debug inconsistent network communication:
○ packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)
● Work with PLC logic and machine sequencing to ensure correct system behavior:
○ interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance
● Build repeatable integration standards:
○ wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists
● Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:
○ NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation
● Use multimeters and oscilloscopes to diagnose:
○ voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections
● Identify root cause quickly and implement robust fixes—not temporary patches.
● Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.
● Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.
● Capture high-quality issue reports for HQ engineering:
○ reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes
● Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).
● Deep PLC / controls engineering experience (you can independently commission and debug automation lines)
● 5+ years in controls / automation / field engineering in high-volume manufacturing environments
● Hands-on expertise with industrial networks and protocols:
○ EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)
● Strong electrical debugging ability:
○ multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition
● Strong understanding of sensors, triggering, and real-time sequencing on production lines
● Mandarin fluency (native or near-native)
● Working English for technical communication with global teams
● You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence
● You’re highly ownership-driven: downtime is personal
● You communicate clearly with both operators and engineers
● You enjoy the field: travel, factories, and getting your hands dirty
Why Overview.ai (why top candidates join)
● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.
● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.
● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.
● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
","descriptionPlain":"ABOUT OVERVIEW.AI http://Overview.ai\n\nOverview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\n\nWe’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).\n\n\nWhy this role is exciting\n\n● Real production ownership: You’re not “support.” You own uptime and line performance where it matters—on the factory floor.\n\n\n● Hard problems, high signal: Intermittent I/O, timing jitter, noisy signals, flaky networks, multi-trigger edge cases, cycle-time constraints—this is what you’ll solve.\n\n\n● High learning + high leverage: You’ll deepen elite controls skills while working alongside world-class AI, embedded, and firmware teams to ship permanent fixes into the product.\n\n\n● Talent density: You’ll be surrounded by fast, intense people who execute. Your work will be taken seriously and acted on quickly.\n\n\n● High travel, high autonomy: You’ll be trusted as the senior technical owner across multiple sites.\n\n\n \n\n\nWHAT YOU’LL OWN\n\n\nCONTROLS + LINE INTEGRATION (CORE OF THE JOB)\n\n● Integrate Overview.ai http://Overview.ai systems into automation lines and make them rock-solid.\n\n\n● Commission and troubleshoot PLC-to-device communication across common industrial protocols:\n\n\n ○ EtherNet/IP, PROFINET, Modbus, OPC UA (and real-world variants)\n\n\n● Diagnose and eliminate timing and triggering issues:\n\n\n ○ double triggers, missed triggers, trigger bounce, incorrect edge detection, latency/jitter, inconsistent handshakes\n\n\n● Debug inconsistent network communication:\n\n\n ○ packet loss, unstable links, IP conflicts, switch configuration issues, grounding/noise coupling, cable quality, EMI, misconfigured QoS/VLANs (where applicable)\n\n\n● Work with PLC logic and machine sequencing to ensure correct system behavior:\n\n\n ○ interpret and modify ladder logic / structured text (as needed) to stabilize integration and performance\n\n\n● Build repeatable integration standards:\n\n\n ○ wiring patterns, sensor conditioning recommendations, network topologies, validated PLC templates, commissioning checklists\n\n\n\nELECTRICAL + SIGNAL INTEGRITY DEBUGGING (HANDS-ON)\n\n● Troubleshoot sensors, discrete I/O, and signal conditioning in real factory environments:\n\n\n ○ NPN/PNP sensors, pull-ups/pull-downs, filtering/debounce, shielding/grounding, noise mitigation\n\n\n● Use multimeters and oscilloscopes to diagnose:\n\n\n ○ voltage levels, signal bounce, timing alignment, interference, poor grounding, intermittent connections\n\n\n● Identify root cause quickly and implement robust fixes—not temporary patches.\n\n\n\nFIELD LEADERSHIP + CUSTOMER TRUST\n\n● Be the senior technical point of contact on-site: calm, decisive, and structured under pressure.\n\n\n● Train customer automation engineers and technicians on best practices for operation and first-line troubleshooting.\n\n\n● Capture high-quality issue reports for HQ engineering:\n\n\n ○ reproduction steps, logs, electrical measurements, network symptoms, PLC state, and recommended fixes\n\n\n● Drive feedback loops that result in real product improvements (tooling, diagnostics, reliability features).\n\n\n \n\n\nWHAT WE’RE LOOKING FOR\n\n\nREQUIRED\n\n● Deep PLC / controls engineering experience (you can independently commission and debug automation lines)\n\n\n● 5+ years in controls / automation / field engineering in high-volume manufacturing environments\n\n\n● Hands-on expertise with industrial networks and protocols:\n\n\n ○ EtherNet/IP, PROFINET, Modbus, OPC UA (practical troubleshooting, not just theory)\n\n\n● Strong electrical debugging ability:\n\n\n ○ multimeter + oscilloscope competence, reading schematics, signal conditioning, EMI/noise intuition\n\n\n● Strong understanding of sensors, triggering, and real-time sequencing on production lines\n\n\n● Mandarin fluency (native or near-native)\n\n\n● Working English for technical communication with global teams\n\n\n\nTRAITS THAT MATTER (WE SCREEN HARD FOR THESE)\n\n● You move fast and stay methodical: hypothesis → test → isolate → fix → prevent recurrence\n\n\n● You’re highly ownership-driven: downtime is personal\n\n\n● You communicate clearly with both operators and engineers\n\n\n● You enjoy the field: travel, factories, and getting your hands dirty\n\n\nWhy Overview.ai http://Overview.ai (why top candidates join)\n\n● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale.\n\n\n● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\n\n● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now.\n\n\n● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning.\n\n\n● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.\n\n"},{"id":"489170b9-201e-4ef4-8d62-e1eb041175ad","title":"Junior IIOT Engineer, Haiyan","department":"Overview China","team":"Integrations Team","employmentType":"FullTime","location":"Haiyan","secondaryLocations":[],"publishedAt":"2026-09-11T16:41:27.692+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Zhejiang","addressCountry":"China","addressLocality":"Haiyan"}},"jobUrl":"https://jobs.ashbyhq.com/overview/489170b9-201e-4ef4-8d62-e1eb041175ad","applyUrl":"https://jobs.ashbyhq.com/overview/489170b9-201e-4ef4-8d62-e1eb041175ad/application","descriptionHtml":"Overview.ai brings the cutting edge of AI computer vision to manufacturing, solving inspection problems that traditional machine vision could not handle. We build GPU-powered smart cameras, deploy them on production lines around the world, and operate the platform that keeps those fleets running.
Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
As a Junior IIoT Engineer, you will help bring our systems live at customer sites: connecting smart cameras to line PLCs, building the logic that runs the inspections, and making sure everything runs reliably on the factory floor.
You will be mentored and grow into someone who can own an entire deployment. We provide structured training in Node-RED, camera inspection-recipe building, and English. We do not expect you to master these tools on day one, but we do expect you to already have a solid industrial-field foundation (see Requirements), which we build on to make you a fully capable engineer.
Deploy and commission Overview.ai vision-inspection systems on customer production lines, on-site.
Create and tune camera inspection recipes for each product (regions of interest, models, pass/fail criteria).
Set up and troubleshoot on-site: cameras, industrial networking and switches, and connectivity issues, using our existing internal diagnostic tools.
Build and maintain integration logic in Node-RED (data flow between cameras, PLCs, HMIs, and dashboards).
Integrate cameras with factory PLCs over I/O, EtherNet/IP, and Profinet: triggering, handshake signals, and result reporting.
Support customers on-site: basic training, issue resolution, and clear written and photo documentation of each deployment.
Work closely with the team, escalating complex problems while steadily taking on more independence.
A diploma or degree in Electrical, Automation, Mechatronics, or a related industrial field. A Computer Science or software background is also fine if paired with hands-on factory experience.
A working foundation in industrial fundamentals, which we expect you to have on day one:
Basic concepts of PLCs and industrial automation (signals, I/O, trigger and handshake logic).
A basic understanding of common manufacturing processes.
The ability to read and clarify on-site requirements, turning customer needs into actionable inspection and integration specs.
Solid troubleshooting instincts: systematically pinpointing what went wrong and why.
A strong hands-on drive and problem-solving mindset: you like to dig into why something is not working and fix it.
Basic English reading and writing, with a genuine willingness to improve.
Able and willing to travel frequently across China and Southeast Asia, with a valid passport.
Reliable, communicative, and comfortable working directly in a live factory environment.
Hands-on experience with specific PLC brands or industrial protocols (Keyence, EtherNet/IP, MQTT, or similar).
Any scripting or programming experience (JavaScript, Python), or low-code tools such as Node-RED.
Familiarity with machine vision, industrial cameras, or industrial networking.
Basic SQL or dashboard tools.
A clear training path: Node-RED and camera-recipe building training, plus English training by an external instructor (two-year program).
On-the-job training and mentorship: you learn by doing on real projects.
Fast, real ownership: you will be commissioning live systems at major manufacturers.
A growth track from Junior IIoT Engineer to IIoT Engineer to Senior IIoT Engineer.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is not a cold start. We already have major logos, executive buy-in, and deployments running on real production lines, and we're taking that motion into new U.S. regions. You'll open new inspection points and new logos, then turn first-station wins into multi-line, multi-site rollouts. You can come from either side: a proven industrial seller with real technical depth, or a hands-on controls, automation, or vision engineer ready to own a number.
WHY THIS ROLE IS EXCITING
Territory ownership from day one: You own pipeline, forecast, and revenue, with credit across every site in the accounts you own.
Delta selling, not slick talk: You win on technical advantages you can demonstrate on the line.
Real support, not hero mode: You get a dedicated applications and engineering escalation path and a proven evaluation playbook.
Clear path up: Strategic Accounts, Regional Lead, player-coach, and GM-style territory ownership as we scale.
WHAT YOU'LL OWN
Territory revenue: Own pipeline, forecast, and revenue from BDR-sourced and inbound opportunities through close.
Technical discovery: Run high-signal discovery with Quality, Process, Automation, and Ops to find the real inspection problem and where the incumbent fails.
Hands-on demos and evaluations: Build recipes, demo on real parts, and own POCs end to end, from line access and acceptance criteria to the readout that converts.
Urgency and closing: Drive milestones to dates, unblock line access and integration issues early, and close without drift to next quarter.
Expansion: Turn first-station wins into repeatable rollouts across lines, plants, and inspection points.
Field presence: Live in the factory, with 60 to 80% travel across your territory.
WHO YOU ARE
Required
You've personally deployed, commissioned, or debugged automation, vision, or industrial hardware on a production floor.
You pick up a new technical product from its documentation and put it to work fast.
You explain technical concepts plainly to plant and quality engineers, and you say \"I don't know\" instead of guessing.
You've owned a number, earned commission, or driven a deal or expansion you can speak to with specifics. If you are more technical, you have experience on a factory floor and know how to engage with technical customers or stakeholders.
You do the homework and ask the right questions before you pitch.
You live in or will relocate to your territory, and you're energized by 60 to 80% travel.
Strong Preferences
Machine vision experience with Keyence, Cognex, or AI inspection vendors.
Manufacturing floor time in automotive, aerospace, or electronics.
PLC, controls, or automation
Startup or new-territory experience.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
Overview.ai is transforming manufacturing quality control with an advanced edge AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks, from subtle assembly verification to defect detection and orientation checks, delivering real-time, high-accuracy inspections that integrate directly into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken and Flex-N-Gate, our cameras enable faster throughput, reduced scrap and lower inspection costs, without the complexity and expense of traditional vision systems.
Founded by Silicon Valley engineers and former Tesla leaders, we are a profitable, fast-growing company with teams in the US, China, Taiwan, Vietnam and Europe.
Our customers are moving from a handful of cameras per plant to fleets of hundreds, and our largest accounts are on the path to thousands of OV cameras across factories in China, Vietnam, Europe and the Americas. Deploying, updating, monitoring and supporting cameras at that scale needs real products, not scripts and shared drives.
We are looking for a Senior Lead Full Stack Python Engineer to lead our Internal Tools team and own the products that make deploying thousands of AI cameras globally repeatable and reliable. You will take over OV Pro Tools, a suite of services that already runs in customer plants today: OV Vault (data storage), OV Fleet (fleet monitoring), OV Train (GPU-accelerated training) and OV Hub (Git-based recipe versioning and sharing). Your job is to turn these into one coherent platform, decide what gets built next and ship it.
This is a hands-on lead role. You will spend most of your time building, from React and TypeScript interfaces down to the Python services behind them, while leading a small team (one engineer today, more as we deploy more systems around the world) and setting the technical direction. You will also work on the frontier: LLM-powered assistants and agent builders that sit on top of our vision system.
About half your time will be spent in China, in the factories where our cameras run at scale (Nantong, Haiyan, Shenzhen and others), deploying, supporting and learning from the people who use the tools every day. The rest is product development from our Taipei base, working closely with the R&D team there.
You will operate with high autonomy: you pick the approach, ship quickly and iterate with real users.
Lead the Internal Tools team. Set the roadmap, priorities and engineering standards for the team. Mentor and grow the engineers on it, run planning and reviews, and hire as the scope grows. Stay hands-on: you ship code every week.
Build the fleet deployment platform. Own the products that let us and our customers deploy, configure, update and monitor thousands of cameras across many sites: device management, recipe versioning and distribution, staged and canary updates with rollback, fleet health monitoring and alerting, telemetry and log tooling.
Own the OV Pro Tools suite end to end. Scale OV Vault, OV Fleet, OV Train and OV Hub from working v1 services into a reliable, modular platform that can be deployed independently or as a suite, including in air-gapped factory networks with no internet access.
Build GenAI applications. Design and ship LLM-powered tools that make monitoring and deploying large fleets of cameras easier.
Full-stack web tools. Own tools end to end, from React/TypeScript frontends to Python backends, APIs and MCP servers.
Integrate with the edge-AI stack. Connect the tools to the camera fleet, inference outputs, recipes and firmware so they work against real inspection data, not toy examples.
0 to 1 product building. Prototype quickly, get tools in front of users, and iterate. Turn rough ideas into shipped products, then sharpen them based on real usage.
Deploy and support in the field. Travel to customer factories in China for installations, upgrades and critical support. Train customer teams, troubleshoot integrations with existing factory systems, and bring what you learn back into the product.
Quality and craft. Sweat performance, reliability and UX. These tools are how customers and colleagues experience Overview; they should feel fast, clear and trustworthy. Code quality needs to be pristine: we use agents to write code, but you understand and own the final design and solution.
7+ years building full-stack web applications, with a proven track record of shipping products end to end at a Senior, Staff or Lead level.
Experience leading engineers, formally or as a tech lead: setting direction, reviewing work, growing people, while staying hands-on.
Expert-level Python for backend services, APIs and data/tooling work (FastAPI, Django or Flask).
Strong proficiency in React and TypeScript for building modern, polished web interfaces.
Experience designing and running distributed or fleet-scale systems: device management, over-the-air or staged updates, monitoring and alerting, offline-first or air-gapped deployments.
Experience building LLM-powered or GenAI product features (LLM APIs, prompt engineering, MCP, agent workflows), or a strong passion and demonstrated aptitude for it.
Professional experience using AI agent tools (Claude Code, Cursor, Copilot and similar) to architect solutions and solve difficult problems efficiently.
Solid Docker, Git, CI/CD and cloud deployment experience.
A product mindset: you care about the user, make good judgment calls under ambiguity, and can drive a tool from idea to shipped without a detailed spec.
Fluent English and fluent Mandarin, both written and spoken. English is needed for R&D collaboration and documentation, Mandarin for customers and the China team.
Comfortable with about 50% travel to China, including extended stays at customer sites.
Hands-on experience with big data infrastructure, vector databases or agent-orchestration frameworks.
Familiarity with computer vision, manufacturing or industrial automation, including factory protocols (OPC UA, Modbus) and MES/ERP integration.
Time-series databases; S3-compatible or NAS storage.
GPU computing or ML operations background (CUDA, TensorRT).
Previous 0-to-1 product development or founding engineer experience.
High agency, zero bureaucracy.
You come in as a senior builder and a leader, not a ticket-taker. You define the tools, pick the stack and decide how they get built. We hire smart people and get out of their way.
Real scale, real customers.
The products you build will run thousands of cameras across some of the largest manufacturers in the world, and you will see them used on the factory floor.
Build on the frontier.
GenAI is core to what we're building, not a bolt-on. You will ship real LLM-powered products to real manufacturers.
Work smarter, not harder.
We don't just build AI; we use it. If you can lean on an AI agent to automate the grunt work, we'll high-five you, not ask why you aren't typing. We measure leverage, not hours.
Growth.
Join a fast-growing, fast-moving and profitable startup, lead a team from day one, and grow into a broader platform or engineering leadership role as the fleet scales.
Competitive package for the Taiwan market: base salary, performance bonus and equity in Overview.ai.
Travel outside Taipei fully covered.
Comprehensive health insurance and benefits, equipment budget.
Relocation support within Taiwan for the right candidate.
Overview.ai brings the cutting edge of AI computer vision to manufacturing, solving inspection problems that traditional machine vision could not handle. We build GPU-powered smart cameras, deploy them on production lines around the world, and operate the platform that keeps those fleets running.
Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
As a Junior IIoT Engineer, you will help bring our systems live at customer sites: connecting smart cameras to line PLCs, building the logic that runs the inspections, and making sure everything runs reliably on the factory floor.
You will be mentored and grow into someone who can own an entire deployment. We provide structured training in Node-RED, camera inspection-recipe building, and English. We do not expect you to master these tools on day one, but we do expect you to already have a solid industrial-field foundation (see Requirements), which we build on to make you a fully capable engineer.
Deploy and commission Overview.ai vision-inspection systems on customer production lines, on-site.
Create and tune camera inspection recipes for each product (regions of interest, models, pass/fail criteria).
Set up and troubleshoot on-site: cameras, industrial networking and switches, and connectivity issues, using our existing internal diagnostic tools.
Build and maintain integration logic in Node-RED (data flow between cameras, PLCs, HMIs, and dashboards).
Integrate cameras with factory PLCs over I/O, EtherNet/IP, and Profinet: triggering, handshake signals, and result reporting.
Support customers on-site: basic training, issue resolution, and clear written and photo documentation of each deployment.
Work closely with the team, escalating complex problems while steadily taking on more independence.
A diploma or degree in Electrical, Automation, Mechatronics, or a related industrial field. A Computer Science or software background is also fine if paired with hands-on factory experience.
A working foundation in industrial fundamentals, which we expect you to have on day one:
Basic concepts of PLCs and industrial automation (signals, I/O, trigger and handshake logic).
A basic understanding of common manufacturing processes.
The ability to read and clarify on-site requirements, turning customer needs into actionable inspection and integration specs.
Solid troubleshooting instincts: systematically pinpointing what went wrong and why.
A strong hands-on drive and problem-solving mindset: you like to dig into why something is not working and fix it.
Basic English reading and writing, with a genuine willingness to improve.
Able and willing to travel frequently across China and Southeast Asia, with a valid passport.
Reliable, communicative, and comfortable working directly in a live factory environment.
Hands-on experience with specific PLC brands or industrial protocols (Keyence, EtherNet/IP, MQTT, or similar).
Any scripting or programming experience (JavaScript, Python), or low-code tools such as Node-RED.
Familiarity with machine vision, industrial cameras, or industrial networking.
Basic SQL or dashboard tools.
A clear training path: Node-RED and camera-recipe building training, plus English training by an external instructor (two-year program).
On-the-job training and mentorship: you learn by doing on real projects.
Fast, real ownership: you will be commissioning live systems at major manufacturers.
A growth track from Junior IIoT Engineer to IIoT Engineer to Senior IIoT Engineer.
Overview.ai brings the cutting edge of AI computer vision to manufacturing, solving inspection problems that traditional machine vision could not handle. We build GPU-powered smart cameras, deploy them on production lines around the world, and operate the platform that keeps those fleets running.
Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
As a Junior IIoT Engineer, you will help bring our systems live at customer sites: connecting smart cameras to line PLCs, building the logic that runs the inspections, and making sure everything runs reliably on the factory floor.
You will be mentored and grow into someone who can own an entire deployment. We provide structured training in Node-RED, camera inspection-recipe building, and English. We do not expect you to master these tools on day one, but we do expect you to already have a solid industrial-field foundation (see Requirements), which we build on to make you a fully capable engineer.
Deploy and commission Overview.ai vision-inspection systems on customer production lines, on-site.
Create and tune camera inspection recipes for each product (regions of interest, models, pass/fail criteria).
Set up and troubleshoot on-site: cameras, industrial networking and switches, and connectivity issues, using our existing internal diagnostic tools.
Build and maintain integration logic in Node-RED (data flow between cameras, PLCs, HMIs, and dashboards).
Integrate cameras with factory PLCs over I/O, EtherNet/IP, and Profinet: triggering, handshake signals, and result reporting.
Support customers on-site: basic training, issue resolution, and clear written and photo documentation of each deployment.
Work closely with the team, escalating complex problems while steadily taking on more independence.
A diploma or degree in Electrical, Automation, Mechatronics, or a related industrial field. A Computer Science or software background is also fine if paired with hands-on factory experience.
A working foundation in industrial fundamentals, which we expect you to have on day one:
Basic concepts of PLCs and industrial automation (signals, I/O, trigger and handshake logic).
A basic understanding of common manufacturing processes.
The ability to read and clarify on-site requirements, turning customer needs into actionable inspection and integration specs.
Solid troubleshooting instincts: systematically pinpointing what went wrong and why.
A strong hands-on drive and problem-solving mindset: you like to dig into why something is not working and fix it.
Basic English reading and writing, with a genuine willingness to improve.
Able and willing to travel frequently across China and Southeast Asia, with a valid passport.
Reliable, communicative, and comfortable working directly in a live factory environment.
Hands-on experience with specific PLC brands or industrial protocols (Keyence, EtherNet/IP, MQTT, or similar).
Any scripting or programming experience (JavaScript, Python), or low-code tools such as Node-RED.
Familiarity with machine vision, industrial cameras, or industrial networking.
Basic SQL or dashboard tools.
A clear training path: Node-RED and camera-recipe building training, plus English training by an external instructor (two-year program).
On-the-job training and mentorship: you learn by doing on real projects.
Fast, real ownership: you will be commissioning live systems at major manufacturers.
A growth track from Junior IIoT Engineer to IIoT Engineer to Senior IIoT Engineer.
Applications Engineer
San Francisco, CA · Applications · Full time, in office
Compensation: $80,000 to $110,000 USD base, plus an annual performance bonus of up to 20%.
Travel: Up to 50%, typically lower.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is a hands on machine vision role for someone who wants to get deep, fast. You will split your time between the lab and live customer applications: evaluating a lens, optimizing a camera setup, building a proof of concept, troubleshooting an inspection that has to hold on a production line. The work moves from bench to factory floor in weeks, not quarters, and what you learn in the lab shows up directly in what we deploy.
WHY THIS ROLE IS EXCITING
Become a genuine machine vision expert: optics, lighting, sensors, and AI inspection, on real parts and real lines.
Own the experiment. You decide how to test it, you write the report, the finding changes the deployment.
Sit at the seam of lab research and customer reality, where most vision engineers only ever see one side.
Work directly with the most demanding manufacturers in the world, with Sales, Product, and Engineering a desk away.
WHAT YOU'LL OWN
Lab testing and experimentation: Hands on testing with cameras, lenses, lighting, and other machine vision components.
Vision setup builds: Build and evaluate vision configurations for customer applications and internal projects.
Technical test reports: Run application tests and turn out clear, fast technical reporting others can act on.
Technology evaluation: Assess new components and technologies and call whether they improve our systems.
Customer support in the field: Testing, troubleshooting, deployment, and technical problem solving for local customers.
AI vision workflow: Image collection, labeling, training, and model evaluation on AI based inspection systems.
Team enablement: Build the internal test setups, resources, and documentation the broader Applications team runs on.
Optical and hardware projects: Camera calibration, new optical configurations, and hardware evaluation.
WHO YOU ARE
Required
1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field.
Strong hands on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, and image acquisition.
Familiarity with lens types and when to use them, including telecentric lenses.
Working understanding of AI based vision and how it differs from traditional rules based vision.
Familiarity with image labeling, model training, classification, object detection, and segmentation.
Strong troubleshooting instincts and a logical, experimental approach to technical problems.
Comfortable working hands on with hardware and testing approaches independently.
Able to document and communicate technical findings clearly.
Eager to learn new technologies quickly, including industrial automation and PLCs.
Based in San Francisco, working primarily from our office, with occasional travel to customer sites.
Strong Preferences
Experience with industrial machine vision systems in production.
Experience selecting or evaluating cameras, lenses, lighting, or optical components.
Hands on experience with AI or deep learning inspection systems.
Experience building proof of concept systems or running feasibility studies.
Exposure to PLCs, industrial controls, or manufacturing automation.
Experience working directly with manufacturing customers.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is not a cold start. We already have major logos, executive buy-in, and deployments running on real production lines, and we're taking that motion into new U.S. regions. You'll open new inspection points and new logos, then turn first-station wins into multi-line, multi-site rollouts. You can come from either side: a proven industrial seller with real technical depth, or a hands-on controls, automation, or vision engineer ready to own a number.
WHY THIS ROLE IS EXCITING
Territory ownership from day one: You own pipeline, forecast, and revenue, with credit across every site in the accounts you own.
Delta selling, not slick talk: You win on technical advantages you can demonstrate on the line.
Real support, not hero mode: You get a dedicated applications and engineering escalation path and a proven evaluation playbook.
Clear path up: Strategic Accounts, Regional Lead, player-coach, and GM-style territory ownership as we scale.
WHAT YOU'LL OWN
Territory revenue: Own pipeline, forecast, and revenue from BDR-sourced and inbound opportunities through close.
Technical discovery: Run high-signal discovery with Quality, Process, Automation, and Ops to find the real inspection problem and where the incumbent fails.
Hands-on demos and evaluations: Build recipes, demo on real parts, and own POCs end to end, from line access and acceptance criteria to the readout that converts.
Urgency and closing: Drive milestones to dates, unblock line access and integration issues early, and close without drift to next quarter.
Expansion: Turn first-station wins into repeatable rollouts across lines, plants, and inspection points.
Field presence: Live in the factory, with 60 to 80% travel across your territory.
WHO YOU ARE
Required
You've personally deployed, commissioned, or debugged automation, vision, or industrial hardware on a production floor.
You pick up a new technical product from its documentation and put it to work fast.
You explain technical concepts plainly to plant and quality engineers, and you say \"I don't know\" instead of guessing.
You've owned a number, earned commission, or driven a deal or expansion you can speak to with specifics. If you are more technical, you have experience on a factory floor and know how to engage with technical customers or stakeholders.
You do the homework and ask the right questions before you pitch.
You live in or will relocate to your territory, and you're energized by 60 to 80% travel.
Strong Preferences
Machine vision experience with Keyence, Cognex, or AI inspection vendors.
Manufacturing floor time in automotive, aerospace, or electronics.
PLC, controls, or automation
Startup or new-territory experience.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is not a cold start. We already have major logos, executive buy-in, and deployments running on real production lines, and we're taking that motion into new U.S. regions. You'll open new inspection points and new logos, then turn first-station wins into multi-line, multi-site rollouts. You can come from either side: a proven industrial seller with real technical depth, or a hands-on controls, automation, or vision engineer ready to own a number.
WHY THIS ROLE IS EXCITING
Territory ownership from day one: You own pipeline, forecast, and revenue, with credit across every site in the accounts you own.
Delta selling, not slick talk: You win on technical advantages you can demonstrate on the line.
Real support, not hero mode: You get a dedicated applications and engineering escalation path and a proven evaluation playbook.
Clear path up: Strategic Accounts, Regional Lead, player-coach, and GM-style territory ownership as we scale.
WHAT YOU'LL OWN
Territory revenue: Own pipeline, forecast, and revenue from BDR-sourced and inbound opportunities through close.
Technical discovery: Run high-signal discovery with Quality, Process, Automation, and Ops to find the real inspection problem and where the incumbent fails.
Hands-on demos and evaluations: Build recipes, demo on real parts, and own POCs end to end, from line access and acceptance criteria to the readout that converts.
Urgency and closing: Drive milestones to dates, unblock line access and integration issues early, and close without drift to next quarter.
Expansion: Turn first-station wins into repeatable rollouts across lines, plants, and inspection points.
Field presence: Live in the factory, with 60 to 80% travel across your territory.
WHO YOU ARE
Required
You've personally deployed, commissioned, or debugged automation, vision, or industrial hardware on a production floor.
You pick up a new technical product from its documentation and put it to work fast.
You explain technical concepts plainly to plant and quality engineers, and you say \"I don't know\" instead of guessing.
You've owned a number, earned commission, or driven a deal or expansion you can speak to with specifics. If you are more technical, you have experience on a factory floor and know how to engage with technical customers or stakeholders.
You do the homework and ask the right questions before you pitch.
You live in or will relocate to your territory, and you're energized by 60 to 80% travel.
Strong Preferences
Machine vision experience with Keyence, Cognex, or AI inspection vendors.
Manufacturing floor time in automotive, aerospace, or electronics.
PLC, controls, or automation
Startup or new-territory experience.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.
ABOUT OVERVIEW.AI
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.
THE OPPORTUNITY
This is not a cold start. We already have major logos, executive buy-in, and deployments running on real production lines, and we're taking that motion into new Mexico regions. You'll open new inspection points and new logos, then turn first-station wins into multi-line, multi-site rollouts. You can come from either side: a proven industrial seller with real technical depth, or a hands-on controls, automation, or vision engineer ready to own a number.
WHY THIS ROLE IS EXCITING
Territory ownership from day one: You own pipeline, forecast, and revenue, with credit across every site in the accounts you own.
Delta selling, not slick talk: You win on technical advantages you can demonstrate on the line.
Real support, not hero mode: You get a dedicated applications and engineering escalation path and a proven evaluation playbook.
Clear path up: Strategic Accounts, Regional Lead, player-coach, and GM-style territory ownership as we scale.
WHAT YOU'LL OWN
Territory revenue: Own pipeline, forecast, and revenue from BDR-sourced and inbound opportunities through close.
Technical discovery: Run high-signal discovery with Quality, Process, Automation, and Ops to find the real inspection problem and where the incumbent fails.
Hands-on demos and evaluations: Build recipes, demo on real parts, and own POCs end to end, from line access and acceptance criteria to the readout that converts.
Urgency and closing: Drive milestones to dates, unblock line access and integration issues early, and close without drift to next quarter.
Expansion: Turn first-station wins into repeatable rollouts across lines, plants, and inspection points.
Field presence: Live in the factory, with 60 to 80% travel across your territory.
WHO YOU ARE
Required
You've personally deployed, commissioned, or debugged automation, vision, or industrial hardware on a production floor.
You pick up a new technical product from its documentation and put it to work fast.
You explain technical concepts plainly to plant and quality engineers, and you say \"I don't know\" instead of guessing.
You've owned a number, earned commission, or driven a deal or expansion you can speak to with specifics. If you are more technical, you have experience on a factory floor and know how to engage with technical customers or stakeholders.
You do the homework and ask the right questions before you pitch.
You live in or will relocate to your territory, and you're energized by 60 to 80% travel.
Strong Preferences
Machine vision experience with Keyence, Cognex, or AI inspection vendors.
Manufacturing floor time in automotive, aerospace, or electronics.
PLC, controls, or automation
Startup or new-territory experience.
WHY OVERVIEW.AI
Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
Ownership: Your work directly changes the trajectory of the company.
Global exposure: You'll work with the most advanced customers and factories in the world.