Job Title: Power System Engineer – Interconnection Studies
Location: Redwood City, CA (Hybrid preferred)
Job Type: Full-time
GridCARE solves the most critical bottleneck in AI's growth trajectory: immediate access to power. GridCARE enables beneficial load growth and renewable energy by leveraging AI and automation to unlock grid capacity and modernize the interconnection process. As a fast-growing startup, we are looking for power systems experts to help us develop cutting-edge solutions that have a real-world impact.
We are looking for a Power Systems Engineer with hands-on interconnection study experience and a passion for improving the grid integration process through AI and automation. In this role, you’ll conduct in-depth technical analyses, support developing study automation tools, analyze results and prepare study reports to review with customers. You will work with utilities, developers, and regulators to accelerate interconnection timelines. This is a unique opportunity to combine deep power systems expertise and stakeholder engagement, with cutting-edge AI solutions to modernize how studies are performed.
Perform load and generation interconnection studies, including steady-state, short-circuit, or dynamic analysis with widely accepted commercial tools.
Develop power flow and stability models to evaluate system impact for new interconnections, including data centers and renewable generation (inverter-based resources).
Collaborate directly with utilities, developers, and regulators to understand their needs and facilitate smooth interconnection processes and compliance with standards.
Evaluate interconnection options, system upgrades, and Grid-Enhancing Technologies (GETs), providing clear recommendations to stakeholders.
Partner with AI and automation teams to streamline study processes and improve accuracy.
Stay engaged with the latest interconnection news, standards, and emerging solutions in power systems, including the DOE i2X forum and ESIG modeling task force.
Required
Bachelor’s or higher in Electrical Engineering (Power Systems focus) or related field.
2+ years of experience in power system studies, interconnection planning, or related areas.
Proficiency with commercial power system tools (e.g., PSSE, PSLF, PowerWorld, PSCAD, PowerGEM TARA, ASPEN).
Strong coding skills in Python or equivalent, including use of power system tool APIs (psspy, simauto, pypowergem).
Strong understanding of FERC, NERC, and ISO/RTO interconnection processes.
Experience working with or for a utility transmission planning or interconnection team.
Knowledge of steady-state and dynamic load modeling requirements.
Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment, with a focus on client interaction.
Preferred
Experience in applying machine-learning and AI applications to power system studies.
Able to leverage AI code development tools such as Cursor, Copilot and Claude Code to accelerate development.
Experience deploying power system applications in the cloud.
Familiarity with version control (git) and basic software engineering practices.
Ability to write well-documented, tested, and maintainable code.
Competitive salary and equity.
Comprehensive benefits package.
Hybrid work environment with catered lunches and snacks.
The chance to work at the intersection of AI, automation, and power systems alongside experienced engineers and leading researchers.
A mission-driven team focused on shaping the future of the energy transition.
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
","descriptionPlain":"Job Title: Power System Engineer – Interconnection Studies\nLocation: Redwood City, CA (Hybrid preferred)\nJob Type: Full-time\n\n\n\n\nABOUT US\n\nGridCARE solves the most critical bottleneck in AI's growth trajectory: immediate access to power. GridCARE enables beneficial load growth and renewable energy by leveraging AI and automation to unlock grid capacity and modernize the interconnection process. As a fast-growing startup, we are looking for power systems experts to help us develop cutting-edge solutions that have a real-world impact.\n\n\n\n\nJOB DESCRIPTION\n\nWe are looking for a Power Systems Engineer with hands-on interconnection study experience and a passion for improving the grid integration process through AI and automation. In this role, you’ll conduct in-depth technical analyses, support developing study automation tools, analyze results and prepare study reports to review with customers. You will work with utilities, developers, and regulators to accelerate interconnection timelines. This is a unique opportunity to combine deep power systems expertise and stakeholder engagement, with cutting-edge AI solutions to modernize how studies are performed.\n\n\n\n\nRESPONSIBILITIES\n\n - Perform load and generation interconnection studies, including steady-state, short-circuit, or dynamic analysis with widely accepted commercial tools.\n\n - Develop power flow and stability models to evaluate system impact for new interconnections, including data centers and renewable generation (inverter-based resources).\n\n - Collaborate directly with utilities, developers, and regulators to understand their needs and facilitate smooth interconnection processes and compliance with standards.\n\n - Evaluate interconnection options, system upgrades, and Grid-Enhancing Technologies (GETs), providing clear recommendations to stakeholders.\n\n - Partner with AI and automation teams to streamline study processes and improve accuracy.\n\n - Stay engaged with the latest interconnection news, standards, and emerging solutions in power systems, including the DOE i2X forum and ESIG modeling task force.\n\n\nQUALIFICATIONS\n\nRequired\n\n - Bachelor’s or higher in Electrical Engineering (Power Systems focus) or related field.\n\n - 2+ years of experience in power system studies, interconnection planning, or related areas.\n\n - Proficiency with commercial power system tools (e.g., PSSE, PSLF, PowerWorld, PSCAD, PowerGEM TARA, ASPEN).\n\n - Strong coding skills in Python or equivalent, including use of power system tool APIs (psspy, simauto, pypowergem).\n\n - Strong understanding of FERC, NERC, and ISO/RTO interconnection processes.\n\n - Experience working with or for a utility transmission planning or interconnection team.\n\n - Knowledge of steady-state and dynamic load modeling requirements.\n\n - Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment, with a focus on client interaction.\n \n\nPreferred\n\n - Experience in applying machine-learning and AI applications to power system studies.\n\n - Able to leverage AI code development tools such as Cursor, Copilot and Claude Code to accelerate development.\n\n - Experience deploying power system applications in the cloud.\n\n - Familiarity with version control (git) and basic software engineering practices.\n\n - Ability to write well-documented, tested, and maintainable code.\n\n\nWHAT WE OFFER\n\n - Competitive salary and equity.\n\n - Comprehensive benefits package.\n\n - Hybrid work environment with catered lunches and snacks.\n\n - The chance to work at the intersection of AI, automation, and power systems alongside experienced engineers and leading researchers.\n\n - A mission-driven team focused on shaping the future of the energy transition.\n\nJoin us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.\n\n"},{"id":"ed076579-3cdf-445e-a70c-fb9470adfbfd","title":"Optimization Engineer, Grid Systems","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Redwood City","secondaryLocations":[],"publishedAt":"2026-06-10T00:14:40.321+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/gridcare/ed076579-3cdf-445e-a70c-fb9470adfbfd","applyUrl":"https://jobs.ashbyhq.com/gridcare/ed076579-3cdf-445e-a70c-fb9470adfbfd/application","descriptionHtml":"GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
At GridCARE, you will:
Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
Help shape a more abundant, efficient, and resilient energy future for the digital era.
Join a company defining a new category — capacity acceleration for AI.
Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
We're looking for an engineer in the early stages of their career who has demonstrated the ability to solve difficult technical problems in a professional or research setting to work on hard computational problems in the electric grid. This role is ideal for someone who enjoys solving difficult optimization problems and building software that has a direct impact on critical infrastructure. You’ll work closely with experienced engineers and researchers to build tools that help make the grid more flexible, efficient, and resilient as data centers, renewables, storage, and new regulations reshape how electricity systems operate.
Build optimization and simulation software for large-scale electric grid planning and operations problems.
Develop models and algorithms for resource scheduling, network constraints, system reliability, and large-scale operational planning.
Translate mathematical ideas into clear, tested, maintainable code.
Analyze computational performance, identify bottlenecks, and improve reliability.
Learn, customize, and fine-tune optimization algorithms.
Work with real-world data and constraints from large physical systems.
Collaborate across software engineering, applied AI, and power systems.
Take ownership of important modeling and optimization challenges.
A Master's degree or equivalent experience in a quantitative field such as engineering, computer science, applied math, physics, or operations research.
Strong fundamentals in math, algorithms, and software engineering.
Experience writing production-quality code in a language such as Python or Julia.
Experience with optimization solvers, simulation tools, and large-scale numerical workflows.
Ability to reason from first principles and learn unfamiliar technical areas quickly.
Strong debugging, communication, and collaboration skills.
Effectively leverage modern AI tools and workflows to accelerate model development, experimentation, and software engineering.
1–5 years of industry experience, or equivalent applied research experience, in optimization, modeling, simulation, or scientific software development.
Exposure to power systems, energy markets, or the utility industry.
Exposure to optimization, operations research, numerical methods, scientific computing, or large-scale infrastructure systems.
Interest in electricity infrastructure, climate, energy, or industrial AI.
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
$140,000–$220,000
Join us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the age of AI.
","descriptionPlain":"ABOUT US\n\nGridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.\n\nFounded at Stanford’s Doerr School of Sustainability and backed by leading investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.\n\nAt GridCARE, you will:\n\n - Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.\n\n - Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.\n\n - Help shape a more abundant, efficient, and resilient energy future for the digital era.\n\n - Join a company defining a new category — capacity acceleration for AI.\n\n - Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for an engineer in the early stages of their career who has demonstrated the ability to solve difficult technical problems in a professional or research setting to work on hard computational problems in the electric grid. This role is ideal for someone who enjoys solving difficult optimization problems and building software that has a direct impact on critical infrastructure. You’ll work closely with experienced engineers and researchers to build tools that help make the grid more flexible, efficient, and resilient as data centers, renewables, storage, and new regulations reshape how electricity systems operate.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build optimization and simulation software for large-scale electric grid planning and operations problems.\n\n - Develop models and algorithms for resource scheduling, network constraints, system reliability, and large-scale operational planning.\n\n - Translate mathematical ideas into clear, tested, maintainable code.\n\n - Analyze computational performance, identify bottlenecks, and improve reliability.\n\n - Learn, customize, and fine-tune optimization algorithms.\n\n - Work with real-world data and constraints from large physical systems.\n\n - Collaborate across software engineering, applied AI, and power systems.\n\n - Take ownership of important modeling and optimization challenges.\n\n\nWHAT WE’RE LOOKING FOR\n\n - A Master's degree or equivalent experience in a quantitative field such as engineering, computer science, applied math, physics, or operations research.\n\n - Strong fundamentals in math, algorithms, and software engineering.\n\n - Experience writing production-quality code in a language such as Python or Julia.\n\n - Experience with optimization solvers, simulation tools, and large-scale numerical workflows.\n\n - Ability to reason from first principles and learn unfamiliar technical areas quickly.\n\n - Strong debugging, communication, and collaboration skills.\n\n - Effectively leverage modern AI tools and workflows to accelerate model development, experimentation, and software engineering.\n\n - 1–5 years of industry experience, or equivalent applied research experience, in optimization, modeling, simulation, or scientific software development.\n\n\nNICE TO HAVE\n\n - Exposure to power systems, energy markets, or the utility industry.\n\n - Exposure to optimization, operations research, numerical methods, scientific computing, or large-scale infrastructure systems.\n\n - Interest in electricity infrastructure, climate, energy, or industrial AI.\n\n\n\n\n\nWHAT WE OFFER\n\n - Competitive salary, performance bonus, and equity.\n\n - Comprehensive health, dental, and vision coverage.\n\n - Lunch provided three days a week in office.\n\n - Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.\n\n - Access to leading academic, industry, and government partners in the AI-energy ecosystem.\n\n - A mission-driven team focused on shaping the future of the energy transition.\n\n\n\n\nSALARY RANGE\n\n$140,000–$220,000\n\nJoin us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the age of AI."},{"id":"fc301acc-3977-40fd-97b0-59442ae49e7b","title":"Director, Utility Partnerships","department":"Sales and Customer Success","team":"Sales and Customer Success","employmentType":"FullTime","location":"SF, TX, OH, IL, PNW","secondaryLocations":[],"publishedAt":"2026-07-31T17:40:43.435+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/gridcare/fc301acc-3977-40fd-97b0-59442ae49e7b","applyUrl":"https://jobs.ashbyhq.com/gridcare/fc301acc-3977-40fd-97b0-59442ae49e7b/application","descriptionHtml":"GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
At GridCARE, you will:
⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.
🚀 Join a company defining a new category — capacity acceleration for AI.
💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
Learn more about GridCARE:
TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid
Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers
We are seeking a Director of Utility Partnerships to lead high-impact, multi-year engagements with utilities and close strategic partnerships — someone who already carries credibility with utility executive leadership and can bring existing, trusted relationships at one or more target utilities. This is a senior, relationship-led role requiring a unique combination of business development and utility industry expertise. It is ideal for a commercially-driven utility expert who understands different regulatory regimes and utility business models, thrives in a fast-paced environment, and enjoys building partnerships that result in meaningful long-term business growth.
Be the face of GridCARE for utilities
Bring and build on existing relationships with utility executives and senior decision-makers, particularly at priority target utilities
Build and maintain a robust pipeline of utility contacts across departments and levels
Drive strategic partnerships from introduction to execution of commercial agreements with leading utilities
Own accountability for meeting and exceeding utility partnership targets
Identify high-value opportunities based on deep understanding of utility needs and market trends, and craft targeted approaches to secure engagements
Craft a compelling narrative that clearly articulates GridCARE's value proposition to utility decision-makers
Represent GridCARE at industry conferences, forums, and events to elevate visibility
Collaborate across internal teams
Work with the leadership team to develop product and commercial strategies for utilities, aligned with broader organizational goals and revenue targets
Identify, develop and execute partnership strategies that align with company priorities
Provide structured feedback from utilities to inform roadmap and product delivery, including technical needs, procurement, and contracting
10+ years of experience in business development, sales, strategic partnerships, or senior utility leadership within the utility or energy sector
An established network of utility industry contracts, including credible relationships with senior executives at one or more target utilities, with a demonstrated ability to build trust at the executive level
Deep understanding of the utility industry, state and federal regulation and policy, and the challenges driving grid interconnection
Startup mindset — adaptability, ownership, and comfort operating with ambiguity; startup experience is a plus
A background that pairs utility-side experience with hands-on experience selling into utilities or delivering strategic utility engagements, whether at a startup or management consulting
Exceptional communication, negotiation, and presentation skills, with the ability to articulate complex value propositions
Bachelor's degree required; advanced or technical degree preferred
Preferred: San Francisco Bay Area, with established senior-level relationships at a major California utility
Considered: Texas, with an established network among major Texas utilities
Open to exceptional candidates in the Washington D.C., Ohio, Chicago, or PNW areas, with strong senior-level utility relationships in those markets
Must bring established utility relationships in one or more of these markets.
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule for local employees: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
$185,000-$285,000 OTE annually
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
","descriptionPlain":"ABOUT US\n\nGridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.\n\n\n\nFounded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.\n\n \n\nAt GridCARE, you will:\n\n⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.\n\n🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.\n\n🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.\n\n🚀 Join a company defining a new category — capacity acceleration for AI.\n\n💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.\n\n \n\nLearn more about GridCARE:\n\n - TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid https://techcrunch.com/2025/05/27/gridcare-thinks-more-than-100-gw-of-data-center-capacity-is-hiding-in-the-grid/\n\n - Utility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection https://www.utilitydive.com/news/gridcare-portland-general-pge-data-centers/803097/\n\n - Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers https://www.datacenterdynamics.com/en/analysis/from-years-to-months-creating-an-ai-fast-lane-for-grid-connection/\n\n \n\n\nJOB DESCRIPTION\n\nWe are seeking a Director of Utility Partnerships to lead high-impact, multi-year engagements with utilities and close strategic partnerships — someone who already carries credibility with utility executive leadership and can bring existing, trusted relationships at one or more target utilities. This is a senior, relationship-led role requiring a unique combination of business development and utility industry expertise. It is ideal for a commercially-driven utility expert who understands different regulatory regimes and utility business models, thrives in a fast-paced environment, and enjoys building partnerships that result in meaningful long-term business growth.\n\n \n\n\nRESPONSIBILITIES\n\nBe the face of GridCARE for utilities\n\n - Bring and build on existing relationships with utility executives and senior decision-makers, particularly at priority target utilities\n\n - Build and maintain a robust pipeline of utility contacts across departments and levels\n\n - Drive strategic partnerships from introduction to execution of commercial agreements with leading utilities\n\n - Own accountability for meeting and exceeding utility partnership targets\n\n - Identify high-value opportunities based on deep understanding of utility needs and market trends, and craft targeted approaches to secure engagements\n\n - Craft a compelling narrative that clearly articulates GridCARE's value proposition to utility decision-makers\n\n - Represent GridCARE at industry conferences, forums, and events to elevate visibility\n\nCollaborate across internal teams\n\n - Work with the leadership team to develop product and commercial strategies for utilities, aligned with broader organizational goals and revenue targets\n\n - Identify, develop and execute partnership strategies that align with company priorities\n\n - Provide structured feedback from utilities to inform roadmap and product delivery, including technical needs, procurement, and contracting\n\n \n\n\nQUALIFICATIONS\n\n - 10+ years of experience in business development, sales, strategic partnerships, or senior utility leadership within the utility or energy sector\n\n - An established network of utility industry contracts, including credible relationships with senior executives at one or more target utilities, with a demonstrated ability to build trust at the executive level\n\n - Deep understanding of the utility industry, state and federal regulation and policy, and the challenges driving grid interconnection\n\n - Startup mindset — adaptability, ownership, and comfort operating with ambiguity; startup experience is a plus\n\n - A background that pairs utility-side experience with hands-on experience selling into utilities or delivering strategic utility engagements, whether at a startup or management consulting\n\n - Exceptional communication, negotiation, and presentation skills, with the ability to articulate complex value propositions\n\n - Bachelor's degree required; advanced or technical degree preferred\n\n \n \n\n\nLOCATION CONSIDERATIONS\n\n - Preferred: San Francisco Bay Area, with established senior-level relationships at a major California utility\n\n - Considered: Texas, with an established network among major Texas utilities\n\n - Open to exceptional candidates in the Washington D.C., Ohio, Chicago, or PNW areas, with strong senior-level utility relationships in those markets\n \n Must bring established utility relationships in one or more of these markets.\n\n \n \n\n\nWHAT WE OFFER\n\n - Competitive salary, performance bonus, and equity.\n\n - Comprehensive health, dental, and vision coverage.\n\n - Lunch provided three days a week in office.\n\n - Hybrid schedule for local employees: 3 days in office for collaboration, 2 days remote for focused work.\n\n - Access to leading academic, industry, and government partners in the AI-energy ecosystem.\n\n - A mission-driven team focused on shaping the future of the energy transition.\n\n \n\n\nSALARY RANGE\n\n$185,000-$285,000 OTE annually\n\n \n\nJoin us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI."},{"id":"b817f01a-d4e0-43a8-82b2-a7626ca7739c","title":"Senior Product Manager","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"Redwood City","secondaryLocations":[],"publishedAt":"2026-08-14T20:38:26.092+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/gridcare/b817f01a-d4e0-43a8-82b2-a7626ca7739c","applyUrl":"https://jobs.ashbyhq.com/gridcare/b817f01a-d4e0-43a8-82b2-a7626ca7739c/application","descriptionHtml":"Location: Redwood City, CA — Hybrid (3 days/week in office)
Team: Product
Type: Full-time
GridCARE is building software to unlock the next wave of AI infrastructure by solving a critical constraint: access to power and grid capacity.
Our platform helps data centers, energy providers, and infrastructure developers understand, unlock, and accelerate available capacity in the electric grid—turning complex physical systems into actionable, software-driven decisions.
Founded at Stanford’s Doerr School of Sustainability and backed by leading deep-tech and climate investors, GridCARE sits at the intersection of AI, energy systems, and large-scale infrastructure.
We are a small, high-caliber team building foundational software for one of the most important bottlenecks in the AI era.
We are looking for a Senior Product Manager to own and drive a core area of the GridCARE platform.
You will take ambiguous, technically complex problem spaces and turn them into clear, usable, and high-impact product experiences. This is a hands-on IC role focused on discovery, definition, and delivery.
You will work closely with engineering, domain experts, customers, and commercial teams to define what we build, why it matters, and how it comes to life in production systems.
This role is ideal for a product manager who thrives in deep technical environments, enjoys working across disciplines, and wants meaningful ownership in a fast-moving startup.
Own a key product area within the GridCARE platform from discovery through delivery and iteration.
Work directly with customers and partners to understand workflows, pain points, and opportunities.
Translate complex technical and operational problems into simple, intuitive product requirements.
Partner closely with engineering to design and ship reliable, scalable software systems.
Define product metrics, evaluate performance, and iterate based on real-world usage.
Drive prioritization across competing needs and help shape the product roadmap.
Use AI tools to accelerate research, analysis, prototyping, and product development workflows.
5+ years of product management experience building and shipping complex B2B or enterprise software products. Experience working in the energy industry and with utilities is a plus.
Experience working on data-heavy, systems-oriented, or technically complex products (e.g., real-time systems, simulation, optimization, forecasting, or infrastructure software).
Customer-facing experience, with a track record of turning user needs into shipped products.
Ability to work effectively with engineering teams on deeply technical systems.
Strong analytical thinking and comfort with ambiguity in early-stage environments.
Excellent communication skills, with the ability to simplify complex ideas for technical and non-technical audiences.
Hands-on fluency with AI tools for product work (research, prototyping, analysis, documentation, etc.).
Strong product judgment and a bias toward action and execution.
Technical background in computer science, engineering, power systems, or a related field.
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
","descriptionPlain":"SENIOR PRODUCT MANAGER\n\nLocation: Redwood City, CA — Hybrid (3 days/week in office)\nTeam: Product\nType: Full-time\n\n\n\n\nABOUT GRIDCARE\n\nGridCARE is building software to unlock the next wave of AI infrastructure by solving a critical constraint: access to power and grid capacity.\n\nOur platform helps data centers, energy providers, and infrastructure developers understand, unlock, and accelerate available capacity in the electric grid—turning complex physical systems into actionable, software-driven decisions.\n\nFounded at Stanford’s Doerr School of Sustainability and backed by leading deep-tech and climate investors, GridCARE sits at the intersection of AI, energy systems, and large-scale infrastructure.\n\nWe are a small, high-caliber team building foundational software for one of the most important bottlenecks in the AI era.\n\n\n\n\nTHE ROLE\n\nWe are looking for a Senior Product Manager to own and drive a core area of the GridCARE platform.\n\nYou will take ambiguous, technically complex problem spaces and turn them into clear, usable, and high-impact product experiences. This is a hands-on IC role focused on discovery, definition, and delivery.\n\nYou will work closely with engineering, domain experts, customers, and commercial teams to define what we build, why it matters, and how it comes to life in production systems.\n\nThis role is ideal for a product manager who thrives in deep technical environments, enjoys working across disciplines, and wants meaningful ownership in a fast-moving startup.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own a key product area within the GridCARE platform from discovery through delivery and iteration.\n\n - Work directly with customers and partners to understand workflows, pain points, and opportunities.\n\n - Translate complex technical and operational problems into simple, intuitive product requirements.\n\n - Partner closely with engineering to design and ship reliable, scalable software systems.\n\n - Define product metrics, evaluate performance, and iterate based on real-world usage.\n\n - Drive prioritization across competing needs and help shape the product roadmap.\n\n - Use AI tools to accelerate research, analysis, prototyping, and product development workflows.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years of product management experience building and shipping complex B2B or enterprise software products. Experience working in the energy industry and with utilities is a plus.\n\n - Experience working on data-heavy, systems-oriented, or technically complex products (e.g., real-time systems, simulation, optimization, forecasting, or infrastructure software).\n\n - Customer-facing experience, with a track record of turning user needs into shipped products.\n\n - Ability to work effectively with engineering teams on deeply technical systems.\n\n - Strong analytical thinking and comfort with ambiguity in early-stage environments.\n\n - Excellent communication skills, with the ability to simplify complex ideas for technical and non-technical audiences.\n\n - Hands-on fluency with AI tools for product work (research, prototyping, analysis, documentation, etc.).\n\n - Strong product judgment and a bias toward action and execution.\n\n - Technical background in computer science, engineering, power systems, or a related field.\n\n\n\n\nWHAT WE OFFER\n\n - Competitive salary, performance bonus, and equity.\n\n - Comprehensive health, dental, and vision coverage.\n\n - Lunch provided three days a week in office.\n\n - Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.\n\n - Access to leading academic, industry, and government partners in the AI-energy ecosystem.\n\n - A mission-driven team focused on shaping the future of the energy transition.\n \n \n\nJoin us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.\n\n"},{"id":"e05539f3-b7a7-462f-9cc1-dd2ccc37805b","title":"Physical Systems Modeling Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Redwood City","secondaryLocations":[],"publishedAt":"2026-08-20T22:23:09.302+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/gridcare/e05539f3-b7a7-462f-9cc1-dd2ccc37805b","applyUrl":"https://jobs.ashbyhq.com/gridcare/e05539f3-b7a7-462f-9cc1-dd2ccc37805b/application","descriptionHtml":"Location: Redwood City, CA (Hybrid) or Remote – US
Team: Engineering
Type: Full-time
GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
At GridCARE, you will:
Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
Help shape a more abundant, efficient, and resilient energy future for the digital era.
Join a company defining a new category — capacity acceleration for AI.
Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
We are looking for a quantitative engineer to help build the models at the core of how GridCARE understands data center power: how facilities consume energy today, and how that consumption will evolve over time. In this role, you will develop simulation and forecasting models for existing and future data centers and the components inside data centers that will be used to support planning decisions across the full horizon, from intraday operations to multi-year infrastructure development. The goal is not simply to predict future demand, but to build models that can generate realistic future operating scenarios under a wide range of assumptions and conditions.
This role is well suited for someone who enjoys reasoning about complex systems, working with imperfect data, and translating real-world behavior into quantitative models. You should be excited to learn new domains and apply rigorous analytical thinking to difficult problems.
Build models that accurately represent the physical systems inside of a data center
Develop simulation frameworks that capture uncertainty, growth trajectories, and operational behavior across planning horizons.
Explore how changes in technology, utilization, deployment strategies, and external factors influence future energy consumption.
Analyze historical data to identify patterns, drivers, and sources of uncertainty.
Evaluate model performance and continuously improve assumptions, methodologies, and predictive accuracy.
Collaborate with engineers, researchers, and business stakeholders to translate practical questions into quantitative analyses.
Communicate model assumptions, limitations, and findings clearly to both technical and non-technical audiences.
Take ownership of key modeling components and drive them from concept through validation and deployment.
Bachelor's, Master's, or PhD in a quantitative field, with 1–5+ years of relevant industry or applied research experience.
Experience working with data, mathematical models, simulations, forecasting problems, and time-series analysis.
Experience with forecasting under uncertainty, probabilistic modeling, or scenario generation.
A passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid.
Proficiency in Python or a similar programming language.
Ability to think from first principles and learn unfamiliar technical domains quickly.
Comfort working with ambiguity and open-ended questions.
Strong written and verbal communication skills.
Demonstrated ability to effectively use AI tools in technical workflows.
Exposure to infrastructure systems, energy systems, cloud computing, data centers, telecommunications networks, or other large-scale engineered systems.
Exposure to data center, GPU, CPU power consumption modeling.
Experience modeling data center to grid interaction, such as interconnection, load response, or capacity constraints.
Experience developing models used to support real-world operational or planning decisions.
Experience working with large datasets.
Work on a problem that directly affects the speed of deploying AI and energy infrastructure
Own technical direction on a product built from the ground up alongside domain experts
Meaningful organizational influence in a small, high-trust team
Competitive salary, equity, and benefits; hybrid in Redwood City with remote flexibility
We believe small teams of strong engineers can solve important, real-world infrastructure problems. We value clear thinking, strong ownership, pragmatic execution, and systems that hold up in production. If you're excited about technical leadership at the intersection of energy, infrastructure, and modern SaaS — we'd love to talk.
$140,000 – $250,000
","descriptionPlain":"Location: Redwood City, CA (Hybrid) or Remote – US\n\nTeam: Engineering\n\nType: Full-time\n\n\nABOUT GRIDCARE\n\nGridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.\n\nFounded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.\n\n\n\nAt GridCARE, you will:\n\n - Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.\n\n - Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.\n\n - Help shape a more abundant, efficient, and resilient energy future for the digital era.\n\n - Join a company defining a new category — capacity acceleration for AI.\n\n - Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.\n\n\nABOUT THE ROLE\n\nWe are looking for a quantitative engineer to help build the models at the core of how GridCARE understands data center power: how facilities consume energy today, and how that consumption will evolve over time. In this role, you will develop simulation and forecasting models for existing and future data centers and the components inside data centers that will be used to support planning decisions across the full horizon, from intraday operations to multi-year infrastructure development. The goal is not simply to predict future demand, but to build models that can generate realistic future operating scenarios under a wide range of assumptions and conditions.\n\nThis role is well suited for someone who enjoys reasoning about complex systems, working with imperfect data, and translating real-world behavior into quantitative models. You should be excited to learn new domains and apply rigorous analytical thinking to difficult problems.\n\n\nWHAT YOU'LL DO\n\n - Build models that accurately represent the physical systems inside of a data center\n\n - Develop simulation frameworks that capture uncertainty, growth trajectories, and operational behavior across planning horizons.\n\n - Explore how changes in technology, utilization, deployment strategies, and external factors influence future energy consumption.\n\n - Analyze historical data to identify patterns, drivers, and sources of uncertainty.\n\n - Evaluate model performance and continuously improve assumptions, methodologies, and predictive accuracy.\n\n - Collaborate with engineers, researchers, and business stakeholders to translate practical questions into quantitative analyses.\n\n - Communicate model assumptions, limitations, and findings clearly to both technical and non-technical audiences.\n\n - Take ownership of key modeling components and drive them from concept through validation and deployment.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor's, Master's, or PhD in a quantitative field, with 1–5+ years of relevant industry or applied research experience. \n\n - Experience working with data, mathematical models, simulations, forecasting problems, and time-series analysis.\n\n - Experience with forecasting under uncertainty, probabilistic modeling, or scenario generation.\n\n - A passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid.\n\n - Proficiency in Python or a similar programming language.\n\n - Ability to think from first principles and learn unfamiliar technical domains quickly.\n\n - Comfort working with ambiguity and open-ended questions.\n\n - Strong written and verbal communication skills.\n\n - Demonstrated ability to effectively use AI tools in technical workflows.\n\n\nNICE TO HAVE\n\n - Exposure to infrastructure systems, energy systems, cloud computing, data centers, telecommunications networks, or other large-scale engineered systems.\n\n - Exposure to data center, GPU, CPU power consumption modeling.\n\n - Experience modeling data center to grid interaction, such as interconnection, load response, or capacity constraints.\n\n - Experience developing models used to support real-world operational or planning decisions.\n\n - Experience working with large datasets.\n\n\nWHY GRIDCARE\n\n - Work on a problem that directly affects the speed of deploying AI and energy infrastructure\n\n - Own technical direction on a product built from the ground up alongside domain experts\n\n - Meaningful organizational influence in a small, high-trust team\n\n - Competitive salary, equity, and benefits; hybrid in Redwood City with remote flexibility\n\n\nOUR PHILOSOPHY\n\nWe believe small teams of strong engineers can solve important, real-world infrastructure problems. We value clear thinking, strong ownership, pragmatic execution, and systems that hold up in production. If you're excited about technical leadership at the intersection of energy, infrastructure, and modern SaaS — we'd love to talk.\n\n\nSALARY RANGE\n\n$140,000 – $250,000"},{"id":"ceab4465-52b3-4a63-b5fd-cb84dfab6e85","title":"Senior/Staff Backend Software Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Redwood City","secondaryLocations":[],"publishedAt":"2026-08-17T21:58:52.887+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/gridcare/ceab4465-52b3-4a63-b5fd-cb84dfab6e85","applyUrl":"https://jobs.ashbyhq.com/gridcare/ceab4465-52b3-4a63-b5fd-cb84dfab6e85/application","descriptionHtml":"GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
At GridCARE, you will:
⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.
🚀 Join a company defining a new category — capacity acceleration for AI.
💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
Learn more about GridCARE:
TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid
Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers
GridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration
We're looking for a product engineer with infrastructure instincts and a platform mindset. You'll build a cloud-based system that manages and operates data centers for some of the largest AI compute providers in the world, the kind of infrastructure that powers the leading cloud and chip companies driving the AI boom. You'll be the one owning the architecture, the decisions, and how it runs in production. Reliability isn't optional. When it's live, it has to stay live, stay accurate, and update safely without ever putting a customer's infrastructure at risk.
While the role is open to engineers at different stages of their career, it is best suited for an experienced Senior to Staff-level engineer who can independently architect, build, and operate mission-critical backend systems in production. What matters most is depth: real experience in architecting, implementing, tuning, and debugging real time systems that have to run reliably in production, and genuine curiosity about growing that depth into broader platform and infrastructure ownership as GridCARE scales. We're hiring for talent and fit over a specific title, industry background, or years of experience, and will calibrate the final level and scope to the individual.
Build a cloud native backend platform that is reliable, real time, scalable, and secure, including:
Time series data storage and retrieval
Real time streaming and event processing
Integrations with simulation, forecasting, optimization, and market modules
Design for continuous deployment and safe updates to live, mission critical infrastructure, so systems keep running without disruption or unexpected side effects.
Lead code quality and engineering excellence: automated testing, continuous deployment, CI/CD pipeline development, performance tuning, and system observability.
Own architecture decisions with a focus on scalability, fault tolerance, cybersecurity, and suitability for on premises control center deployments.
Collaborate across disciplines, working alongside data scientists, power systems engineers, and DevOps teams to bring AI driven solutions from prototype to production in mission critical environments.
Own services end to end, from design through deployment and ongoing operation.
Required
Experience architecting, implementing, and operating cloud native, real time backend systems that are highly available, reliable, secure, and scalable.
Strong software architecture, distributed systems, concurrency, and security fundamentals.
Proficiency in at least one backend language, e.g., Python.
Strong experience with REST/gRPC API design and event-driven architectures.
Experience with time series data, real time streaming, and databases across relational and non relational systems (e.g., Kafka, MQTT, TimescaleDB, or similar).
Hands-on experience with containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, deployment automation, and production operations.
Experience with AI assisted development tools such as Cursor, CodeRabbit, Claude, GitHub Copilot, or similar.
Strong collaboration and communication skills, comfortable prioritizing and working cross functionally in a startup environment with limited guidance and evolving requirements.
Preferred
Someone who's passionate about making a real difference in the world.
An entrepreneurial self starter with a focus on scalable, secure, and maintainable solutions.
Background in energy, climate tech, power systems, or other complex infrastructure domains, including grid operations.
Experience with industrial telemetry systems such as SCADA or Ignition.
Redwood City, CA
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch is provided three days a week in the office.
Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
$184,000 - $284,000
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
","descriptionPlain":"ABOUT US\n\nGridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.\n\nFounded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.\n\n\n\nAt GridCARE, you will:\n\n⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.\n\n🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.\n\n🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.\n\n🚀 Join a company defining a new category — capacity acceleration for AI.\n\n💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.\n\n\n\nLearn more about GridCARE:\n\n - TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid https://techcrunch.com/2025/05/27/gridcare-thinks-more-than-100-gw-of-data-center-capacity-is-hiding-in-the-grid/\n\n - Utility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection https://www.utilitydive.com/news/gridcare-portland-general-pge-data-centers/803097/\n\n - Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers https://www.datacenterdynamics.com/en/analysis/from-years-to-months-creating-an-ai-fast-lane-for-grid-connection/\n\n - GridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration https://www.businesswire.com/news/home/20260514546216/en/GridCARE-Raises-%2464-Million-Series-A-from-Leading-AI-and-Energy-Investors-to-Create-a-New-Category-Power-Acceleration-for-AI\n\n\n\n\nJOB DESCRIPTION\n\nWe're looking for a product engineer with infrastructure instincts and a platform mindset. You'll build a cloud-based system that manages and operates data centers for some of the largest AI compute providers in the world, the kind of infrastructure that powers the leading cloud and chip companies driving the AI boom. You'll be the one owning the architecture, the decisions, and how it runs in production. Reliability isn't optional. When it's live, it has to stay live, stay accurate, and update safely without ever putting a customer's infrastructure at risk.\n\nWhile the role is open to engineers at different stages of their career, it is best suited for an experienced Senior to Staff-level engineer who can independently architect, build, and operate mission-critical backend systems in production. What matters most is depth: real experience in architecting, implementing, tuning, and debugging real time systems that have to run reliably in production, and genuine curiosity about growing that depth into broader platform and infrastructure ownership as GridCARE scales. We're hiring for talent and fit over a specific title, industry background, or years of experience, and will calibrate the final level and scope to the individual.\n\n\nRESPONSIBILITIES\n\n - Build a cloud native backend platform that is reliable, real time, scalable, and secure, including:\n \n - Time series data storage and retrieval\n \n - Real time streaming and event processing\n \n - Integrations with simulation, forecasting, optimization, and market modules\n\n - Design for continuous deployment and safe updates to live, mission critical infrastructure, so systems keep running without disruption or unexpected side effects.\n\n - Lead code quality and engineering excellence: automated testing, continuous deployment, CI/CD pipeline development, performance tuning, and system observability.\n\n - Own architecture decisions with a focus on scalability, fault tolerance, cybersecurity, and suitability for on premises control center deployments.\n\n - Collaborate across disciplines, working alongside data scientists, power systems engineers, and DevOps teams to bring AI driven solutions from prototype to production in mission critical environments.\n\n - Own services end to end, from design through deployment and ongoing operation.\n\n \n\n\nQUALIFICATIONS\n\nRequired\n\n - Experience architecting, implementing, and operating cloud native, real time backend systems that are highly available, reliable, secure, and scalable.\n\n - Strong software architecture, distributed systems, concurrency, and security fundamentals.\n\n - Proficiency in at least one backend language, e.g., Python.\n\n - Strong experience with REST/gRPC API design and event-driven architectures.\n\n - Experience with time series data, real time streaming, and databases across relational and non relational systems (e.g., Kafka, MQTT, TimescaleDB, or similar).\n\n - Hands-on experience with containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, deployment automation, and production operations.\n\n - Experience with AI assisted development tools such as Cursor, CodeRabbit, Claude, GitHub Copilot, or similar.\n\n - Strong collaboration and communication skills, comfortable prioritizing and working cross functionally in a startup environment with limited guidance and evolving requirements.\n\nPreferred\n\n - Someone who's passionate about making a real difference in the world.\n\n - An entrepreneurial self starter with a focus on scalable, secure, and maintainable solutions.\n\n - Background in energy, climate tech, power systems, or other complex infrastructure domains, including grid operations.\n\n - Experience with industrial telemetry systems such as SCADA or Ignition.\n\n\nLOCATION\n\n - Redwood City, CA\n\n \n\n\nWHAT WE OFFER\n\n - Competitive salary, performance bonus, and equity.\n\n - Comprehensive health, dental, and vision coverage.\n\n - Lunch is provided three days a week in the office.\n\n - Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.\n\n - Access to leading academic, industry, and government partners in the AI-energy ecosystem.\n\n - A mission-driven team focused on shaping the future of the energy transition.\n\n \n\n\nSALARY RANGE\n\n$184,000 - $284,000\n\n\n\nJoin us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI."}],"apiVersion":"1"}