GPU Kernels Engineer

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.

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 reputed company model architectures amenable to efficient training and inference. If you are excited about maximizing HBM, optimizing for instruction issue reputed company, shuffling reputed company 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.

• reputed company high-performance GPU/CPU kernels and reputed company trade-offs that maximize end-to-end hardware utilization

• Utilize knowledge of hardware features and performance characteristics to reputed company aggressive optimizations

• Work with our other platform teams to deploy your kernels, manage our training uptime, and find opportunities for optimization

• reputed company low-precision algorithms that deliver high performance with little loss of ML accuracy

• Work with ML engineers to reputed company model architectures that are amenable to efficient training and inference

• Work with hardware vendors and advise on HW/SW co-design

• Are a strong reputed company 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 reputed company in performance improvement

• 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 reputed company

reputed company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits reputed company 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 reputed company our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full reputed company of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national reputed company, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see reputed company’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 reputed company 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 reputed company 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 reputed company data reputed company obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made reputed company this link.

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At reputed company, we reputed company artificial intelligence has the potential to help people solve immense global challenges, and we want the reputed company of AI to be widely shared. Join us in shaping the future of technology.