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GPU Kernels Engineer
OpenAISan Francisco, California, United States
Onsite
Full-time
$240,000 - $440,000 p/annum
About the Team
The Scaling team builds robust and scalable software to support our research efforts. It also offers core development services for mission-critical goals and applications. In the Kernel Libraries team, we write compute and communication kernels for the GPUs and CPUs powering our research clusters. We also collaborate closely with the Triton compiler team to design new language features and improve the performance of generated code.
About the Role
As a Kernels Engineer for Kernel Libraries, you will write high-performance kernels for the training and inference workloads. You will work with other engineers across the platform team to accelerate our biggest training runs. You will also work backward from the capabilities of the GPUs to make model architectures amenable to efficient training and inference. If you are excited about maximizing HBM, optimizing for instruction issue rate, shuffling within a warp, managing the precious register space, and keeping the tensor cores at high utilization, this is the perfect opportunity!
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Develop high-performance GPU/CPU kernels and make trade-offs that maximize end-to-end hardware utilization
Utilize knowledge of hardware features and performance characteristics to make aggressive optimizations
Work with our other platform teams to deploy your kernels, manage our training uptime, and find opportunities for optimization
Develop low-precision algorithms that deliver high performance with little loss of ML accuracy
Work with ML engineers to develop model architectures that are amenable to efficient training and inference
Work with hardware vendors and advise on HW/SW co-design
You might thrive in this role if you:
Are a strong coder with excellent skills in C/C++ and Python
Have a deep understanding of GPU, CPU, or other AI accelerator architectures
Have experience writing and optimizing compute kernels with CUDA or similar languages
Are familiar with LLM architectures and training infrastructure
Have experience driving ML accuracy with low-precision formats
Have 3+ years of relevant industry experience
Get a great deal of satisfaction with every percentage point in performance improvement
These attributes are nice to have:
PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other Systems
Participation in competitive programming competitions
Experience building compilers
Experience working with hardware developers
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 OpenAI’s 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.
OpenAI Global Applicant Privacy Policy
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.
GPU Kernels Engineer
Location
San Francisco, California, United States
Workplace
Onsite
Type
Full-time
Salary
$240,000 - $440,000 p/annum