Index / OpenAI

Operating Systems Engineer, Linux Kernel | Consumer Devices

OpenAI

Pay
$230k–$385k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 hours ago
Last seen
2 hours ago
Board
Ashby

Summary

ABOUT THE TEAM OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives.

Posting

ABOUT THE TEAM 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 custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. ABOUT THE ROLE As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. IN THIS ROLE, YOU WILL: - Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. - Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. - Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, performance, power, and reliability issues in development and production. - Measure and validate improvements: Develop tests and representative workloads to demonstrate repeatable performance, power, and reliability gains and detect regressions across kernel and userspace. - Partner across disciplines: Work with hardware, firmware, platform, and application engineers to turn system requirements into understandable, maintainable solutions. - Contribute sustainable ker