Backed by Greylock, Insight and Khosla.
About the role
As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices.
What they're looking for
- Substantial hands-on experience designing, developing, and debugging operating system components, system services, or performance-critical platform software
- Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management
- Hands-on experience integrating or optimizing inference runtimes or machine learning workloads in resource-constrained environments
- Strong understanding of scheduling, memory management, and how workloads compete for shared system resources
- Experience diagnosing complex system behavior and delivering performance or power improvements supported by repeatable measurements
- Ability to work across disciplines, translate research and product needs into system requirements, and explain technical decisions and tradeoffs clearly
More about this role
OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future.
Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world.
As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices.
Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling,...
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