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You will be updated with latest job alerts via emailUSD 310000 - 460000
1 Vacancy
About the Team
Were building high-performance infrastructure to serve OpenAIs frontier models at massive scale. As part of the inference team youll be responsible for unlocking every last FLOP from our GPUs by designing kernels tuning memory layouts and optimizing model execution at the lowest levels of the stack.
About the Role
We are looking for a kernel-focused engineer to lead efforts in writing porting and optimizing GPU kernels used in inference workloads. This role requires deep familiarity with CUDA or equivalent kernel programming environments and a strong intuition for performance tuning across modern GPU architectures.
In this role you will:
Design implement and optimize CUDA kernels for inference-critical operations (e.g. fused matmuls custom activation functions memory layout transforms).
Analyze performance bottlenecks and optimize kernel execution for throughput and latency.
Contribute to and extend internal GPU libraries and runtime tools.
Work closely with hardware-specific profiling tools (e.g. Nsight nvprof) to guide improvements.
Collaborate with researchers to port or re-architect new model operations for production use.
You might thrive in this role if you:
Have deep expertise in CUDA and have written high-performance GPU code used in production systems.
Understand GPU memory hierarchies warp scheduling and kernel-level tuning.
Have experience debugging low-level perf issues with Nsight cupti or ROCm tools.
Are excited to build optimized compute primitives that scale across fleets of accelerators.
Enjoy working closely with model researchers to bring new operators to life.
Nice to have:
Contributions to GPU kernel libraries or frameworks (Triton cuBLAS cutlass).
Experience with mixed precision or tensor core optimization.
Familiarity with MIG multi-instance GPU configurations or NUMA-aware execution.
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.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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 information. In addition job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link.
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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.
Full-Time