About the Team
Our Inference team brings OpenAIs 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 theyve 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
Were hiring engineers to scale and optimize OpenAIs inference infrastructure across emerging GPU platforms. Youll 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 OpenAIs 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 model execution across many GPUs.
You can thrive in this role if you:
Have experience writing or porting GPU kernels using HIP CUDA or Triton and care deeply about low-level performance.
Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving.
Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators.
Enjoy solving end-to-end performance challenges across hardware system libraries and orchestration layers.
Are excited to be part of 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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.
For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.