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Operating Systems Engineer

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Operating Systems Engineer in USA new

  • San Francisco, CA

Responsibilities

  • Design and implement OS services, frameworks, and interfaces for inference execution, model loading, lifecycle management, and resource management.
  • Partner with researchers to adapt and optimize models through quantization, runtime integration, and memory optimization for device constraints.
  • Develop scheduling and resource policies that balance inference with other device activity while maintaining responsiveness and meeting latency, memory, battery, and thermal requirements.
  • Develop and validate execution strategies for performance and power management across changing workloads and device conditions.
  • Debug correctness, concurrency, performance, and reliability issues across models, inference runtimes, and OS components using tracing, profiling, and structured debugging.
  • Build diagnostic tools, instrumentation, representative workloads, and automated tests to measure performance and energy improvements and catch regressions.
  • Collaborate with research, hardware, firmware, platform, and product engineering teams to bring model capabilities into maintainable production systems.

Requirements

  • Substantial hands-on experience designing, developing, and debugging operating-system components, system services, or performance-critical platform software.
  • Proficiency in C++ 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 competition 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 clearly explain technical decisions and tradeoffs.
  • Preferred qualifications include end-to-end on-device inference experience in shipped products, model adaptation through quantization or compression, inference optimization across CPUs, GPUs, or neural accelerators, and proficiency in Rust for systems programming.
  • Preferred candidates take ownership across model, runtime, and operating-system boundaries and make tradeoffs among model quality, performance, power, reliability, security, and maintainability.

Salary: $230k - $385k/yr

OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests fi...

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