We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Senior Backend Software Engineer to join our team and help build the backend systems that power our flight safety platform. In this role, you will work closely with senior engineers and product partners to design, build, and maintain backend services, APIs, and data pipelines. You’ll contribute to production systems, grow your backend engineering skills, and play a meaningful role in supporting mission-critical, real-world applications.
What You’ll Do
Design, implement, and maintain backend services and APIs used by web and mobile applications.
Work with senior engineers to build reliable, scalable backend systems in production environments.
Integrate with internal and external data sources, including real-time and batch data pipelines.
Collaborate with product managers and cross-functional partners to deliver backend features that support user-facing functionality.
Participate in code reviews and follow established backend best practices and architectural patterns.
Help ensure system reliability, performance, and maintainability through testing, monitoring, and documentation.
What Will Make You Successful
5+ years of experience building backend systems, or equivalent experience through internships, projects, or coursework.
Experience with at least one modern backend language such as Python or JavaScript/TypeScript (Node.js).
Familiarity with designing or consuming APIs and working with databases or data stores.
Exposure to production environments and an understanding of reliability, performance, and security fundamentals.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Exposure to data pipelines, real-time data systems, or distributed systems concepts.
Interest in machine learning, data-intensive systems, or large-scale data processing.
Familiarity with cloud platforms, CI/CD workflows, or DevOps concepts.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Staff Backend Software Engineer to design, build, and scale the backend systems that power our flight safety platform. In this role, you will take ownership of backend services, APIs, and data pipelines, balancing hands-on development with technical leadership. You’ll work closely with product and cross-functional teams to deliver reliable, secure, and scalable systems that support mission-critical, real-world applications.
What You’ll Do
Architect, build, and maintain backend services and distributed systems that support mission-critical applications.
Design and implement secure, scalable APIs for internal and external integrations, including real-time data streaming and support for web and mobile clients.
Build and optimize data pipelines for efficient ingestion, processing, and access to time-series and multimedia data.
Own backend system reliability, performance, and scalability in production environments.
Lead technical design discussions and contribute to code reviews and architectural decisions.
Troubleshoot and resolve complex backend and cloud infrastructure issues to ensure high availability.
Take ownership of backend features or systems from concept through delivery, working closely with product and cross-functional partners.
What Will Make You Successful
9+ years of experience designing and implementing backend services, APIs, and distributed systems in production environments.
Fluency in modern backend languages such as Python and JavaScript/TypeScript (Node.js).
Proven experience building, scaling, and operating backend infrastructure.
Strong ownership mindset, with experience driving end-to-end systems and features from design through deployment.
Ability to operate effectively in evolving environments while maintaining high standards for quality and reliability.
Experience building or working with data pipelines and backend systems handling large-scale or real-time data.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Familiarity with machine learning workflows or data-intensive systems.
Experience working with big data tools or large-scale data processing frameworks.
Background in DevOps or DevSecOps, including automating infrastructure and improving system reliability and security.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We’re a defense tech / dual-use company. We need a Head of Legal who can keep the company moving by owning the day-to-day legal workflow (contracts, coordination with outside counsel, basic corporate and employment admin) while also taking on practical business operations that reduce founder thrash.
You don’t need to be an expert in everything. You do need strong judgment, excellent organization, and the ability to push work to completion.
Run intake, drafting, review, negotiation support, signature, and filing for NDAs, vendor agreements, consulting agreements, partnership/pilot agreements, MSAs/SOWs, and basic data/security addenda.
Maintain templates and “fallback positions” that match our risk tolerance.
Keep deals moving by driving timelines, nudging reviewers, and making decisions about what to escalate.
Coordinate reviews of government and prime/sub agreements (and flowdowns) with outside counsel as needed.
Track key contract obligations and deliverables (reporting requirements, security requirements, data handling, publication restrictions).
Help internal teams understand “what we signed up for” in plain English.
Maintain invention assignment and contractor IP paperwork; keep clean records.
Coordinate with outside counsel on patent filings or trademark basics if/when needed.
Partner with engineering on lightweight open-source software hygiene (tracking, approvals, basic notices).
Own offer letter / contractor agreement workflows, confidentiality + invention assignment, and separation paperwork coordination with counsel.
Keep an organized approach to sensitive issues (routing to counsel, documenting, protecting confidentiality).
Own a set of recurring operational workflows that keep the company running (examples: vendor onboarding, insurance renewals coordination, corporate filing coordination, document retention, signature authority matrix, tooling admin related to the above).
Build simple systems: trackers, playbooks, checklists, and a clean source of truth.
Be the front door: scope, intake, first drafts, budget discipline, and translating legal advice into next steps.
Ensure the business gets answers that are actionable, not memos.
A working contract intake + approval process that doesn’t live in email.
Core templates in place (at minimum: NDA, consulting agreement, basic MSA/SOW, vendor agreement, pilot/POC agreement).
A simple “obligations tracker” for key contracts and renewal dates.
Outside counsel relationships and escalation rules are clear (what you handle vs what goes out).
Founders spend meaningfully less time on routine legal/ops churn.
Option A: Senior Paralegal / Contracts & Ops
5+ years supporting legal work in-house or at a firm (contracts, corporate records, deal coordination).
Excellent organization, writing, and the ability to run a process end-to-end.
Comfort reading agreements, spotting issues, and escalating appropriately.
Option B: Juris Doctor / Former Lawyer
Juris Doctor (and ideally experience practicing, in-house and/or firm).
Hands-on experience negotiating and managing commercial contracts.
Strong operational instinct: you build systems, not just redlines.
You close loops. You don’t let open items sit.
You can prioritize. You know what’s a real risk vs legal noise.
You can communicate tradeoffs in plain English and recommend a path.
You’re comfortable working directly with execs and cross-functional partners.
Government contracting exposure (FAR/DFARS basics, primes/subs, flowdowns).
Export controls familiarity (knowing when to raise a flag and who to call).
IP workflow experience (invention intake, patent counsel coordination, OSS compliance basics).
Startup experience (speed, ambiguity, messy inputs).
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We’re seeking a Senior Technical Recruiter for Murdock, Beacon’s in-cockpit AI assistant. This is a highly impactful role that has a direct influence on the quality and growth of one of our key product areas.
You’ll own the technical hiring strategy and execution across the teams building Murdock, with a particular focus on the kind of engineers who thrive in real-time, safety-critical, product-focused environments. Specifically, you would focus on iOS, machine learning, robotics, and other autonomy-leaning skillsets.
This role requires sound judgement, great attention to detail, and comfort with ownership of outcomes. You’ll work closely with engineering leadership and our recruiting team as a trusted strategic partner, driving success throughout the hiring process.
Own technical hiring strategy and execution for Murdock-related engineering roles, with a strong preference for candidates who have recruited in robotics, aerospace, or defense environments
Partner closely with engineering leaders to refine role requirements, calibrate on candidates, and align on hiring decisions
Source, screen, and assess candidates; team building is one of the most important areas of work at Beacon, so building an intentional pipeline of exceptional candidates will be key
Synthesize interview feedback and make clear hiring recommendations; establish clear and repeatable structures, expectations, and processes to keep the system fair, efficient, and effective
Partner closely with recruiting operations to optimize workflows, pipelines, and candidate experiences
Represent Beacon honestly and compellingly to candidates, and help close exceptional talent in this competitive hiring market!
4+ years of technical recruiting experience, ideally in early-stage or fast-growing startups
Previous experience recruiting iOS, robotics, autonomy, embedded, or other safety-critical technical profiles
Demonstrated ability to source and evaluate high-quality technical candidates using LinkedIn Recruiter and other sourcing platforms
Strong track record of hiring technical talent across a range of experience levels
Experience recruiting for product engineering roles where reliability, ownership, and product judgement matter
Strong relationship-building skills, good judgment, comfort with pushing back, and the ability to earn trust and influence senior stakeholders
Proven success as a founding or early technical recruiting hire
Hands-on experience using Ashby, our ATS
Interest in aviation or mission-critical software systems
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We are seeking a Senior Security Engineer to ensure the security and integrity of Beacon AI’s systems and data across commercial and Department of Defense (DoD) environments. This is a hands-on security engineering role focused on designing and operating secure systems, partnering closely with software teams, and protecting mission-critical flight safety technology while meeting applicable security and compliance standards, including FedRAMP and DoD Impact Level (IL) requirements.
Design and implement secure architectures across applications, cloud infrastructure, backend services, and in-cockpit edge systems, including environments built to FedRAMP Moderate baseline and DoD IL4/IL5 environments.
Protect sensitive data through strong controls for access management, encryption, and secure data handling, consistent with NIST 800-53 and NIST 800-171 requirements.
Identify, assess, and mitigate security risks through vulnerability assessments, penetration testing, and security reviews.
Lead incident response efforts, including detection, containment, remediation, and follow-up analysis.
Integrate security into the SDLC by partnering with software teams on threat modeling, secure code review, and automated security checks in CI/CD and infrastructure-as-code.
Implement and operate security monitoring and logging to detect and respond to threats in real time.
Support authorization and compliance efforts (ATO packages, SSPs, POA&Ms) for FedRAMP and DoD accreditation processes.
Help maintain CMMC 2.0 readiness and alignment with DFARS cybersecurity clauses across the environment.
Secure our AI systems, including LLM and retrieval-based features, against risks like prompt injection, data leakage, and model misuse.
5+ years of hands-on experience in security engineering roles securing complex systems and data, including production cloud environments (AWS or AWS GovCloud strongly preferred)
Strong knowledge of security principles, threat modeling, and defensive security practices.
Experience with common security tools and technologies (e.g., SIEM, IDS/IPS, vulnerability scanning, encryption).
Familiarity with security and compliance frameworks such as NIST 800-53/800-171, ISO 27001, and CMMC.
Direct experience with FedRAMP authorization processes (ATO, SSP, POA&M) and/or DoD Impact Level (IL4/IL5) environments.
Comfort being an early security owner: setting priorities, building from scratch, and balancing risk against a fast-moving product roadmap.
Proven ability to collaborate effectively with software engineers on secure system design.
Hands-on mindset with strong analytical and problem-solving skills.
Passion for aviation and a desire to improve air travel efficiency and safety.
Experience working with aviation, aerospace, or DoD customers, particularly in ITAR-controlled environments.
Familiarity with zero trust architectures or advanced security approaches.
Experience with StateRAMP, IL5/IL6 systems, or classified/controlled unclassified information (CUI) handling.
Experience securing mobile (iOS), embedded, or edge devices operating in disconnected or constrained environments.
Relevant security certifications such as CISSP, CISM, or CEH.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We are seeking a Staff Software Engineer to help design and build the advanced pilot assistance software that supports our flight safety platform. In this role, you will develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments. You will take ownership of mission-critical functionality, contribute hands-on across the stack, and mentor a small team while delivering reliable systems that support time-sensitive decision-making for human operators.
What You’ll Do
Design, build, and deploy robotic and embedded software that powers advanced pilot assistance systems in production environments.
Own autonomy-related features or subsystems from concept through deployment, driving work from 0 to 1 with a strong focus on reliability and performance.
Write, review, and maintain high-quality Python and C++ code across autonomy, systems, and embedded components.
Integrate software with hardware, sensors, and perception or data ingestion pipelines to support autonomous and operator-in-the-loop decision-making.
Optimize software for edge compute environments, managing CPU/GPU usage, latency, and implementing appropriate safety mechanisms and fail-safes.
Lead testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements.
Mentor engineers and contribute to technical direction through design reviews, code reviews, and hands-on collaboration.
What Will Make You Successful
9+ years of experience designing and deploying robotic software and/or embedded systems in production environments.
Strong software engineering skills in C++ and/or Python, with experience in systems-level or embedded programming.
Experience building real-time or interactive systems that support users making time-sensitive decisions.
Familiarity with autonomy-related systems such as planning, decision-making, or reasoning, and integrating with perception or sensor pipelines.
Hands-on experience working with embedded or edge compute platforms and debugging hardware/software interactions.
Proven ability to deliver complex systems end-to-end in fast-moving, ambiguous environments.
Bonus Points
Experience working on safety-critical or mission-critical systems, including aviation or robotics domains.
Familiarity with robot operating systems or middleware such as ROS or DDS.
Experience supporting human operators in the loop, simulation environments, or real-time control systems.
Background in advanced mobility, autonomy, and robotics.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Software Engineer to help design and build the advanced pilot assistance software that supports our flight safety platform. In this role, you will develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments. You will contribute hands-on across the stack, working closely with senior engineers to deliver reliable systems that support time-sensitive decision-making for human operators.
What You’ll Do
Design, build, and deploy robotic and embedded software components used in advanced pilot assistance systems.
Contribute to autonomy-related features or subsystems from development through deployment, with a focus on reliability and performance.
Write, test, and maintain high-quality Python and/or C++ code across autonomy, systems, and embedded components.
Integrate software with hardware, sensors, and perception or data ingestion pipelines to support autonomous and operator-in-the-loop decision-making.
Help optimize software for edge compute environments, including managing latency and resource usage.
Participate in testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements.
Collaborate in design reviews, code reviews, and hands-on development with senior engineers and cross-functional teams.
What Will Make You Successful
2+ years of experience designing or building robotic software and/or embedded systems, or equivalent experience through projects, internships, or coursework.
Experience writing production-quality code in C++ and/or Python.
Familiarity with real-time or interactive systems that support users making time-sensitive decisions.
Exposure to autonomy-related systems such as planning, decision-making, or reasoning, and working with sensor or perception pipelines.
Some experience working with embedded or edge compute platforms and debugging hardware/software interactions.
Ability to learn quickly and contribute effectively in fast-moving, ambiguous environments.
Bonus Points
Experience working on safety-critical or mission-critical systems, including aviation or robotics domains.
Exposure to robot operating systems or middleware such as ROS or DDS.
Interest in human-in-the-loop systems, simulation environments, or real-time control systems.
Background or strong interest in autonomy, robotics, or advanced mobility.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking an iOS Software Engineer to join our mobile team and help build high-impact iOS applications that support our flight safety platform. In this role, you will work closely with senior engineers, designers, and product managers to develop user-facing features and contribute to production systems. You’ll grow your iOS expertise while working on real-time, safety-critical applications that advance flight safety and operational efficiency.
What You’ll Do
Design and implement iOS features using Swift, SwiftUI, UIKit, and modern iOS frameworks.
Work with senior engineers to build and maintain reliable, high-performance mobile applications.
Integrate with internal and external APIs to support real-time data and application functionality.
Collaborate with designers and product managers to deliver intuitive, user-friendly mobile experiences.
Participate in code reviews and follow established iOS best practices and architectural patterns.
Help ensure code quality, performance, and maintainability through testing and documentation.
What Will Make You Successful
2+ years of experience developing iOS applications, or equivalent experience through internships, projects, or coursework.
Experience with Swift and SwiftUI, with some exposure to UIKit and common iOS frameworks.
Familiarity with asynchronous programming concepts such as async/await, multithreading, or GCD.
Basic experience working with networking, APIs, or real-world data sources.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Exposure to mapping or spatial frameworks such as Mapbox or MapKit.
Interest in real-time data, sensors, or hardware-adjacent systems.
Familiarity with CI/CD workflows or cloud-backed mobile systems.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Frontend Web App Engineer to join our team and help build high-impact web interfaces that integrate with our flight safety platform. In this role, you will work closely with senior engineers, product managers, and designers to develop user-facing features that enable interaction with complex aviation data. You’ll contribute to production systems, grow your technical skills, and play a meaningful role in advancing flight safety and operational efficiency.
What You’ll Do
Design and implement React-based features for web applications that work with real-time and historical aviation data.
Integrate, process, and visualize data from multiple sources, including live streams and archived datasets.
Collaborate with backend engineers, product managers, and UX/UI designers on feature design and implementation.
Contribute to code reviews and follow established frontend best practices and architectural patterns.
Help ensure frontend systems are reliable and maintainable through testing and documentation.
Contribute to reusable components and shared frontend libraries.
What Will Make You Successful
2+ years of experience building user-facing web applications, or equivalent experience through internships, projects, or coursework.
Experience with React, TypeScript, JavaScript, state management, and modern web standards (HTML/CSS).
Familiarity with asynchronous frontend patterns and working with APIs or data streams.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Attention to code quality, performance, and maintainability.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Experience with mapping or geospatial tools such as Mapbox or Cesium.
Exposure to live data or video streaming concepts.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We are seeking skilled Senior Software Engineers, Cloud Infrastructure to lead the buildout of our AWS foundation and our LLM platform. You will design, implement, and operate services that are scalable, reliable, and secure.
The broad scope means focus areas in LLM/ML Infra and IoT infra are strong bonus points. For ML Infra, build the stack that powers retrieval-augmented generation and application workflows built with frameworks like LangChain. Experience with IoT AWS services is a plus.
You will work closely with other engineers and product management. The ideal candidate is hands-on, comfortable with ambiguity, and excited to build from first principles.
Cloud Infrastructure Setup and Maintenance
Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform.
Build CI/CD and testing for apps, infra, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline.
Operate secure networking with VPCs, PrivateLink, and VPC endpoints. Manage IAM, KMS, Secrets Manager, and audit logging.
LLM Platform and Runtime
Stand up and operate model endpoints using AWS Bedrock and/or SageMaker; evaluate when to use ECS/EKS, Lambda, or Batch for inference jobs.
Build and maintain application services that call LLMs through clean APIs, with streaming, batching, and backoff strategies.
Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling.
RAG Data Systems and Vector Search
Design chunking and embedding pipelines for documents, time series, and multimedia. Orchestrate with Step Functions or Airflow.
Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone. Tune recall, latency, and cost.
Build and maintain knowledge bases and data syncs from S3, Aurora, DynamoDB, and external sources.
Evaluation, Observability, and Cost Governance
Create offline and online eval harnesses for prompts, retrievers, and chains. Track quality, latency, and regression risk.
Instrument model and app telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts.
Add guardrails, rate limits, fallbacks, and provider routing for resilience.
Safety, Privacy, and Compliance
Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review where needed.
Use Bedrock Guardrails or policy services to enforce safety standards. Maintain audit trails for regulated environments.
Data Pipeline Construction
Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Ensure integrity, lineage, and cataloging with Glue and Lake Formation.
Optimize bulk data movement and storage in S3, Glacier, and tiered storage. Use Athena for ad-hoc analysis.
IoT Deployment Management
Manage infrastructure that deploys to and communicates with edge devices. Support secure messaging, identity, and over-the-air updates.
Analytics and Application Support
Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features.
Provide expert troubleshooting for cloud and ML services with an emphasis on uptime and performance.
Performance Optimization
Tune retrieval quality, context window use, and caching with Redis or Bedrock Knowledge Bases.
Optimize inference with model selection, quantization where applicable, GPU/CPU instance choices, and autoscaling strategies.
End-to-End Ownership: Drives work from design through production, including on-call and continuous improvement.
LLM Systems Experience: Shipped or operated LLM-powered applications in production. Familiar with RAG design, prompt versioning, and chain orchestration using LangChain or similar.
AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker.
Data Engineering Skills: Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event-driven patterns using EventBridge and SQS.
Security Mindset: Applies least privilege, secrets management, network isolation, and compliance practices appropriate to sensitive data.
Evaluation and Metrics: Uses quantitative evals, A/B testing, and live metrics to guide improvements.
Clear Communication: Explains tradeoffs and aligns partners across product, security, and application engineering.
4+ years working with serverless or container platforms on AWS.
Experience with vector databases, OpenSearch, or pgvector at scale.
Hands-on with Bedrock Guardrails, Knowledge Bases, or custom policy engines.
Familiarity with GPU workloads, Triton Inference Server, or TensorRT-LLM.
Experience with big data tools for large-scale processing and search.
Background in aviation data or other safety-critical domains.
DevOps or DevSecOps experience automating CI/CD for ML and app services.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We are seeking skilled Staff Software Engineers, Cloud Infrastructure to lead the buildout of our AWS foundation and our LLM platform. You will design, implement, and operate services that are scalable, reliable, and secure.
The broad scope means focus areas in LLM/ML Infra and IoT infra are strong bonus points. For ML Infra, build the stack that powers retrieval-augmented generation and application workflows built with frameworks like LangChain. Experience with IoT AWS services is a plus.
You will work closely with other engineers and product management. The ideal candidate is hands-on, comfortable with ambiguity, and excited to build from first principles.
Cloud Infrastructure Setup and Maintenance
Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform.
Build CI/CD and testing for apps, infra, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline.
Operate secure networking with VPCs, PrivateLink, and VPC endpoints. Manage IAM, KMS, Secrets Manager, and audit logging.
LLM Platform and Runtime
Stand up and operate model endpoints using AWS Bedrock and/or SageMaker; evaluate when to use ECS/EKS, Lambda, or Batch for inference jobs.
Build and maintain application services that call LLMs through clean APIs, with streaming, batching, and backoff strategies.
Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling.
RAG Data Systems and Vector Search
Design chunking and embedding pipelines for documents, time series, and multimedia. Orchestrate with Step Functions or Airflow.
Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone. Tune recall, latency, and cost.
Build and maintain knowledge bases and data syncs from S3, Aurora, DynamoDB, and external sources.
Evaluation, Observability, and Cost Governance
Create offline and online eval harnesses for prompts, retrievers, and chains. Track quality, latency, and regression risk.
Instrument model and app telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts.
Add guardrails, rate limits, fallbacks, and provider routing for resilience.
Safety, Privacy, and Compliance
Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review where needed.
Use Bedrock Guardrails or policy services to enforce safety standards. Maintain audit trails for regulated environments.
Data Pipeline Construction
Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Ensure integrity, lineage, and cataloging with Glue and Lake Formation.
Optimize bulk data movement and storage in S3, Glacier, and tiered storage. Use Athena for ad-hoc analysis.
IoT Deployment Management
Manage infrastructure that deploys to and communicates with edge devices. Support secure messaging, identity, and over-the-air updates.
Analytics and Application Support
Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features.
Provide expert troubleshooting for cloud and ML services with an emphasis on uptime and performance.
Performance Optimization
Tune retrieval quality, context window use, and caching with Redis or Bedrock Knowledge Bases.
Optimize inference with model selection, quantization where applicable, GPU/CPU instance choices, and autoscaling strategies.
End-to-End Ownership: Drives work from design through production, including on-call and continuous improvement.
LLM Systems Experience: Shipped or operated LLM-powered applications in production. Familiar with RAG design, prompt versioning, and chain orchestration using LangChain or similar.
AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker.
Data Engineering Skills: Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event-driven patterns using EventBridge and SQS.
Security Mindset: Applies least privilege, secrets management, network isolation, and compliance practices appropriate to sensitive data.
Evaluation and Metrics: Uses quantitative evals, A/B testing, and live metrics to guide improvements.
Clear Communication: Explains tradeoffs and aligns partners across product, security, and application engineering.
9+ years working with serverless or container platforms on AWS.
Experience with vector databases, OpenSearch, or pgvector at scale.
Hands-on with Bedrock Guardrails, Knowledge Bases, or custom policy engines.
Familiarity with GPU workloads, Triton Inference Server, or TensorRT-LLM.
Experience with big data tools for large-scale processing and search.
Background in aviation data or other safety-critical domains.
DevOps or DevSecOps experience automating CI/CD for ML and app services.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
We are seeking a Staff Frontend Software Engineer to bring technical leadership, strong ownership, and strategic thinking to our frontend team. In this role, you will drive the development of high-impact web interfaces that integrate with our flight safety platform, enabling users to interact with complex aviation data and derive actionable insights. You will collaborate closely across disciplines and play a key role in advancing aviation safety and operational capability.
What You’ll Do
Design and implement React-based features while architecting frontend systems that handle large-scale, real-time and historical aviation data.
Integrate, process, and visualize data from multiple sources, including live streams and archived datasets.
Mentor engineers and drive best practices through code reviews and architectural discussions.
Partner with backend engineers, product managers, and UX/UI designers to make informed design and implementation decisions.
Ensure reliable, maintainable frontend systems through automated testing, clear documentation, and strong engineering standards.
Build reusable components and internal libraries to accelerate future development.
What Will Make You Successful
9+ years of experience building and shipping high-performance, user-facing web applications.
Deep expertise in React, TypeScript, JavaScript, state management, and modern web standards (HTML/CSS).
Strong experience with asynchronous frontend patterns and efficient handling of live and historical data streams.
Proven ownership of complex features or product areas, driving work from concept through delivery with a high degree of autonomy.
Proactive, resourceful mindset with the ability to operate effectively in fast-moving, ambiguous environments.
Consistently sets and upholds a high technical bar through design decisions, code quality, mentorship, and hiring input.
Ability to analyze and optimize frontend performance for scalability, responsiveness, and reliability.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Experience with geospatial or mapping tools such as Mapbox or Cesium.
Deep experience with live data streaming and playback systems.
Experience with video streaming technologies and real-time media delivery.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Senior Frontend Engineer to join our team and help build high-impact web interfaces that integrate with our flight safety platform. In this role, you will work closely with senior engineers, product managers, and designers to develop user-facing features that enable interaction with complex aviation data. You’ll contribute to production systems, grow your technical skills, and play a meaningful role in advancing flight safety and operational efficiency.
What You’ll Do
Design and implement React-based features for web applications that work with real-time and historical aviation data.
Integrate, process, and visualize data from multiple sources, including live streams and archived datasets.
Collaborate with backend engineers, product managers, and UX/UI designers on feature design and implementation.
Contribute to code reviews and follow established frontend best practices and architectural patterns.
Help ensure frontend systems are reliable and maintainable through testing and documentation.
Contribute to reusable components and shared frontend libraries.
What Will Make You Successful
5+ years of experience building user-facing web applications, or equivalent experience through internships, projects, or coursework.
Experience with React, TypeScript, JavaScript, state management, and modern web standards (HTML/CSS).
Familiarity with asynchronous frontend patterns and working with APIs or data streams.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Attention to code quality, performance, and maintainability.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Experience with mapping or geospatial tools such as Mapbox or Cesium.
Exposure to live data or video streaming concepts.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking a Senior Software Engineer to help design and build the advanced pilot assistance software that supports our flight safety platform. In this role, you will develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments. You will contribute hands-on across the stack, working closely with senior engineers to deliver reliable systems that support time-sensitive decision-making for human operators.
What You’ll Do
Design, build, and deploy robotic and embedded software components used in advanced pilot assistance systems.
Contribute to autonomy-related features or subsystems from development through deployment, with a focus on reliability and performance.
Write, test, and maintain high-quality Python and/or C++ code across autonomy, systems, and embedded components.
Integrate software with hardware, sensors, and perception or data ingestion pipelines to support autonomous and operator-in-the-loop decision-making.
Help optimize software for edge compute environments, including managing latency and resource usage.
Participate in testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements.
Collaborate in design reviews, code reviews, and hands-on development with senior engineers and cross-functional teams.
What Will Make You Successful
5+ years of experience designing or building robotic software and/or embedded systems, or equivalent experience through projects, internships, or coursework.
Experience writing production-quality code in C++ and/or Python.
Familiarity with real-time or interactive systems that support users making time-sensitive decisions.
Exposure to autonomy-related systems such as planning, decision-making, or reasoning, and working with sensor or perception pipelines.
Some experience working with embedded or edge compute platforms and debugging hardware/software interactions.
Ability to learn quickly and contribute effectively in fast-moving, ambiguous environments.
Bonus Points
Experience working on safety-critical or mission-critical systems, including aviation or robotics domains.
Exposure to robot operating systems or middleware such as ROS or DDS.
Interest in human-in-the-loop systems, simulation environments, or real-time control systems.
Background or strong interest in autonomy, robotics, or advanced mobility.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking an Senior iOS Software Engineer to join our mobile team and help build high-impact iOS applications that support our flight safety platform. In this role, you will work closely with senior engineers, designers, and product managers to develop user-facing features and contribute to production systems. You’ll grow your iOS expertise while working on real-time, safety-critical applications that advance flight safety and operational efficiency.
What You’ll Do
Design and implement iOS features using Swift, SwiftUI, UIKit, and modern iOS frameworks.
Work with senior engineers to build and maintain reliable, high-performance mobile applications.
Integrate with internal and external APIs to support real-time data and application functionality.
Collaborate with designers and product managers to deliver intuitive, user-friendly mobile experiences.
Participate in code reviews and follow established iOS best practices and architectural patterns.
Help ensure code quality, performance, and maintainability through testing and documentation.
What Will Make You Successful
5+ years of experience developing iOS applications, or equivalent experience through internships, projects, or coursework.
Experience with Swift and SwiftUI, with some exposure to UIKit and common iOS frameworks.
Familiarity with asynchronous programming concepts such as async/await, multithreading, or GCD.
Basic experience working with networking, APIs, or real-world data sources.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Exposure to mapping or spatial frameworks such as Mapbox or MapKit.
Interest in real-time data, sensors, or hardware-adjacent systems.
Familiarity with CI/CD workflows or cloud-backed mobile systems.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
Role Overview
We are seeking an Staff iOS Software Engineer to join our mobile team and help build high-impact iOS applications that support our flight safety platform. In this role, you will work closely with senior engineers, designers, and product managers to develop user-facing features and contribute to production systems. You’ll grow your iOS expertise while working on real-time, safety-critical applications that advance flight safety and operational efficiency.
What You’ll Do
Design and implement iOS features using Swift, SwiftUI, UIKit, and modern iOS frameworks.
Work with senior engineers to build and maintain reliable, high-performance mobile applications.
Integrate with internal and external APIs to support real-time data and application functionality.
Collaborate with designers and product managers to deliver intuitive, user-friendly mobile experiences.
Participate in code reviews and follow established iOS best practices and architectural patterns.
Help ensure code quality, performance, and maintainability through testing and documentation.
What Will Make You Successful
9+ years of experience developing iOS applications, or equivalent experience through internships, projects, or coursework.
Experience with Swift and SwiftUI, with some exposure to UIKit and common iOS frameworks.
Familiarity with asynchronous programming concepts such as async/await, multithreading, or GCD.
Basic experience working with networking, APIs, or real-world data sources.
Strong problem-solving skills and eagerness to learn from feedback and mentorship.
Ability to work effectively in a collaborative, fast-moving environment.
Bonus Points
Passion for aviation and a desire to improve air travel efficiency and safety.
Exposure to mapping or spatial frameworks such as Mapbox or MapKit.
Interest in real-time data, sensors, or hardware-adjacent systems.
Familiarity with CI/CD workflows or cloud-backed mobile systems.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
At Beacon AI, we're building AI-powered systems that help aviation professionals navigate complex, high-stakes operational decisions.
This role sits at the intersection of agentic AI, information retrieval, and production software engineering. We build systems that reason over diverse sources of information, use tools to investigate problems, and produce reliable, explainable results.
We're looking for engineers who can think critically about how these systems should work, design their underlying information and orchestration architectures, and take them from experimental prototypes to dependable production services.
Design and implement agent architectures involving tool use, planning, orchestration, state management, and memory.
Develop effective context engineering strategies, balancing relevant information, model capabilities, latency, and cost.
Make thoughtful architectural decisions about when to use autonomous agents, explicit workflows, conventional algorithms, or combinations thereof.
Design tool interfaces and structured model interactions that support reliable, inspectable behavior.
Develop an understanding of complex document collections and data sources: their structure, semantics, authority, relationships, and scope.
Translate domain knowledge into effective retrieval systems, structured representations, and agent-accessible tools.
Apply information retrieval, information extraction, and knowledge modeling techniques to heterogeneous structured and unstructured data.
Design strategies for handling temporal relevance, provenance, conflicting evidence, and incomplete information.
Develop rigorous evaluations for AI-powered systems, including representative datasets, human annotations, automated assessments, and targeted failure analysis.
Investigate system-level failures across retrieval, context construction, reasoning, tool execution, and final outputs.
Experiment with alternative architectures, models, and prompting strategies, using empirical results to guide decisions.
Help establish engineering practices for measuring and improving the reliability of agentic systems.
Develop reliable services and asynchronous workflows with attention to concurrency, fault tolerance, observability, and maintainability.
Integrate model inference, retrieval systems, and external data services into production applications.
Build and operate containerized workloads and cloud infrastructure.
Collaborate with engineers and domain experts to translate complex operational requirements into working systems.
Applied AI is a broad discipline. We don't expect every candidate to have deep expertise in every part of the stack.
We particularly encourage candidates with substantial experience in one or more of the following areas:
Agentic systems and context engineering: Agent orchestration patterns, planning and execution, tool-use architectures, persistent and transient memory, and context management.
Information retrieval and knowledge representation: Semantic and structured retrieval, information extraction, document understanding, entity and relationship modeling, and knowledge-driven tool design.
AI evaluation and reliability: Evaluation methodology, benchmark and dataset construction, human and model-based assessment, statistical analysis, and systematic failure characterization.
Model adaptation and inference optimization: Fine-tuning, model selection, inference serving, quantization, batching, and performance optimization.
We value candidates who bring genuine depth to at least one of these areas, along with the curiosity and engineering judgment to work effectively across disciplinary boundaries.
Strong software engineering fundamentals. You write maintainable production code, reason about system architecture, and understand testing, debugging, and operational reliability.
Substantive applied AI experience. You've worked on AI systems beyond basic model API integrations and can explain their architecture, tradeoffs, limitations, and observed behavior.
Information modeling instincts. You can understand a new domain, identify its important entities and relationships, and design software abstractions that reflect how its information is actually used.
Experimental discipline. You test assumptions, measure results, investigate failure modes, and use evidence to guide technical decisions.
Independent technical judgment. You can evaluate alternative approaches, recognize unnecessary complexity, and make appropriate tradeoffs.
Clear communication. You can discuss technical decisions with both technical and non-technical stakeholders and domain experts.
We care more about demonstrated technical understanding and the quality of your engineering work than familiarity with any particular AI framework.
Our systems primarily use Python, LangGraph, BAML, AWS Bedrock, PostgreSQL/pgvector, and event-driven AWS infrastructure.
Experience with these technologies is helpful but not required. We're more interested in your understanding of the underlying concepts and ability to work effectively with unfamiliar tools.
Aviation, aerospace, or another technically complex, safety-critical domain.
Computational linguistics, NLP, information science, or knowledge representation.
Designing systems that reason over technical documentation, regulations, or heterogeneous operational data.
Developing or operating distributed, event-driven, and containerized services.
Building AI systems in which traceability, evidence, and human oversight are important.
Design an agentic workflow that identifies operational risks from aviation weather, airspace restrictions, aircraft-specific information, and regulatory guidance.
Develop retrieval and tool interfaces that allow agents to navigate multiple information sources while preserving source authority, provenance, and temporal relevance.
Build an evaluation framework that measures the factual completeness, correctness, and operational relevance of AI-generated analyses.
Investigate when an agent should perform additional research, use a specialized tool, or terminate its investigation.
Improve the reliability, latency, and cost of a multi-stage AI workflow through architectural changes informed by evaluation results.
We'd be particularly interested in hearing about an AI system you've designed or meaningfully improved, including the engineering decisions you made, the alternatives you considered, and how you determined whether the system was successful.
We value thoughtful technical work over the number of frameworks or models listed on a résumé.
Work Location
This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.