Kernels - San Francisco
About the Team
Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large-scale optimization, active learning, and other areas.
The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators. We work across the inference stack, from low-level kernels and compilers through model execution, to unlock the full capabilities of the underlying hardware.
About the Role
As a Software Engineer.
This is a deeply technicalance kernels, improving compiler support, and enabling efficient execution of the model forward pass.
You'll work closely with engineers across inferenceance bottlenecks and build the software needed to take full advantage of Trainium. The work may range from low-level hardware-specific optimization to compiler and runtime improvements to integrating new model architectures into the inference stack.
If you enjoy working at the intersection of ML systemsance problems for frontier-scale AI systems.
In This Role, You Will
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Build and optimize OpenAI's inference stack for AWS Trainium.
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Develop high-performance kernels for critical model operations and workloads.
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Extend and improve compiler support to efficiently target Trainium hardware.
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Build the systems necessary to execute and optimize the model forward pass on Trainium.
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Profile workloads and identify bottlenecks across kernels, compiler-generated code, runtime, and model execution.
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Partner with inference and ML systems teams to bring new models and architectures onto Trainium.
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Work across the hardware/software boundary to unlock performance and capabilities from specialized AI accelerators.
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Own complex performance and systems problems end-to-end, from investigation through production deployment.
We're Looking for a Track Record Of
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3+ years of relevant engineering experienceance engineering.
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Strong systems programming fundamentals and experience writing performance-critical software.
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Experience working with GPU, TPU, Trainium, or other specialized accelerator architectures.
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Ability to reason about performance across multiple layers of the stack, from hardware and kernels through compilers and ML frameworks.
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Owning technically ambiguous problems end-to-end and learning new hardware and software domains as needed.
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Bonus: experience with AWS Trainium or the AWS Neuron SDK.
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Bonus: contributions to ML frameworks such as PyTorch or JAX, compiler infrastructure such as LLVM, MLIR, XLA, or Triton, or experience developing kernels for specialized accelerators.
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 the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
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.
Compensation
$295K – $380K + Offers Equity