Software Engineer, Inference – AMD GPU Enablement

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Inference – AMD GPU Enablement San Francisco, California, United States About the Team Our Inference team brings OpenAI's most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they've never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role 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. In this role, you will: - 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

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