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Software Engineer, Inference – AMD GPU Enablement

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OpenAI

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

295000.00 - 555000.00 USD / Year
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Job Description:

We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware. This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators.

Job Responsibility:

  • Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware
  • Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems
  • Debug and optimize distributed inference workloads across memory, network, and compute layers
  • Validate correctness, performance, and scalability of model execution on large GPU clusters
  • Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks
  • Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs

Requirements:

  • Experience writing or porting GPU kernels using HIP, CUDA, or Triton
  • Familiarity with communication libraries like NCCL/RCCL
  • Experience working on distributed inference systems
  • Ability to solve end-to-end performance challenges across hardware, system libraries, and orchestration layers
  • Ability to thrive in a small, fast-moving team building new infrastructure from first principles

Nice to have:

  • Contributions to open-source libraries like RCCL, Triton, or vLLM
  • Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling
  • Prior experience deploying inference on other non-NVIDIA GPU environments
  • Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models
What we offer:
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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