System Power Engineer, Consumer Devices

About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. About the Role OpenAI is seeking a System Power Engineer to characterize, measure, and optimize power consumption across our embedded hardware products. In this role, you will work closely with Electrical Engineering and system software teams to build power test automation, measure subsystem-level power usage, and drive improvements that directly impact battery life, thermal behavior, charging performance, and system reliability. You will help establish the methodologies and metrics used to understand and improve power efficiency across real-world product experiences, from controlled lab environments to representative day-in-the-life usage scenarios. This role requires hands-on experience with embedded hardware platforms, power instrumentation, and the analysis of power profiles and system behavior. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. In this role, you will: - Define and develop power testing automation to evaluate system behavior across a range of workloads and operating conditions. - Measure subsystem-level power consumption using power breakout probes and other lab instrumentation. - Develop and execute power characterization tests spanning basic workloads, complex mixed-use scenarios, and representative day-of-use experiences. - Partner closely with Electrical Engineers to identify opportunities to improve system power efficiency. - Collaborate with software engineering teams to optimize energy usage in scenarios that impact battery life, device temperature, charging performance, and overall user experience. - Define repeatable power benchmarks and measurement methodologies to assess launch readiness and track performance throughout the product lifecycle. You might thrive in this role if you have: - Experience measuring and optimizing power consumption on embedded hardware platforms. - Demonstrated experience designing and operating complex hardware-in-the-loop laboratories and orchestrating device testing at scale. - Experience analyzing power profiles and correlating them with overall system performance. - Experience collaborating cross-functionally with Electrical Engineering, embedded software, systems, and product teams. - Experience defining repeatable power benchmarks and launch readiness metrics for hardware products. - Strong proficiency in Python, experience in C/C++ Preferred Qualifications - Familiarity with statistics, experimentation methodologies, or data science concepts. - Experience performing subsystem-level power measurements using power breakout probes or similar lab instrumentation. - Experience working with battery-powered consumer products and optimizing for battery life, thermals, and charging performance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained th

Experience measuring and optimizing power consumption on embedded hardware platforms. Demonstrated experience designing and operating complex hardware-in-the-loop laboratories and orchestrating device testing at scale. Experience analyzing power profiles and correlating them with overall system performance. Experience collaborating cross-functionally with Electrical Engineering, embedded software, systems, and product teams. Experience defining repeatable power benchmarks and launch readiness metrics for hardware products. Strong proficiency in Python, experience in C/C++.

Define and develop power testing automation to evaluate system behavior across a range of workloads and operating conditions. Measure subsystem-level power consumption using power breakout probes and other lab instrumentation. Develop and execute power characterization tests spanning basic workloads, complex mixed-use scenarios, and representative day-of-use experiences. Partner closely with Electrical Engineers to identify opportunities to improve system power efficiency. Collaborate with software engineering teams to optimize energy usage in scenarios that impact battery life, device temperature, charging performance, and overall user experience. Define repeatable power benchmarks and measurement methodologies to assess launch readiness and track performance throughout the product lifecycle.