OpenAI

Software Engineer, Kernel Performance & AI Tooling

OpenAI
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6 months ago

Base Salary

$266k - $445k/yr

Responsibilities

  • Build developer tooling and workflows that accelerate kernel development, performance optimization, debugging, integration, and deployment.
  • Develop observability, diagnostics, and validation infrastructure for AI-assisted optimization systems.
  • Optimize production kernels by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and delivering production improvements.
  • Design abstractions, interfaces, and automation systems for kernel optimization, correctness validation, and hardware-software co-design.
  • Improve AI-assisted optimization systems using better datasets, evaluations, benchmarking, and research infrastructure.
  • Partner with research and engineering teams to translate new ideas into practical production systems and long-term infrastructure.

Requirements

  • Strong systems or tooling engineering experience in low-level software, performance optimization, or infrastructure.
  • Experience with developer tooling, debugging infrastructure, profiling, observability, or technical-user workflow design.
  • Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.
  • Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.
  • Hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators is preferred.
  • Interest in compilers, DSLs, program synthesis, or AI for systems is preferred.
  • Ability to work across software and hardware boundaries and between research exploration and production execution.
  • Candidates may need to meet legal status requirements under U.S. export control laws and regulations.

Categories

OpenAI

About OpenAI

10,000+ employees

OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.

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