TPU Kernel Engineer

Anthropic; New York (NY); Hybrid; USD 280,000 - 850,000; Full time

Job summary

Anthropic is seeking a TPU Kernel Engineer to identify and tackle performance issues in ML systems including research, training, and inference. The role involves designing and optimizing TPU kernels and providing feedback about the impact of model changes on performance. The ideal candidate has strong experience in optimizing ML systems and is highly results-oriented. The position comes with a competitive salary range of $280,000 to $850,000, and it requires at least a Bachelor’s degree in a relevant field.

Qualifications

• Significant experience optimizing ML systems.
• Strong candidates have a track record of solving large-scale systems problems.

Responsibilities

• Identify and address performance issues across ML systems.
• Design and optimize kernels for the TPU.
• Provide feedback to researchers on model changes.

Skills

Optimizing ML systems for TPUs, GPUs, or other accelerators

Flexibility and impact orientation

Pair programming

Interest in machine learning research

Societal impacts awareness

Education

Bachelor’s degree or equivalent

Job description

About The Role

As a TPU Kernel Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization.

You May Be a Good Fit If You

• Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong Candidates May Also Have Experience With

• High performance, large-scale ML systems
• Designing and implementing kernels for TPUs or other ML accelerators
• Understanding accelerators at a deep level, e.g. a background in computer architecture
• ML framework internals
• Language modeling with transformers

Representative Projects

• Implement low-latency, high-throughput sampling for large language models
• Adapt existing models for low-precision inference
• Build quantitative models of system performance
• Design and implement custom collective communication algorithms
• Debug kernel performance at the assembly level

Annual Salary

$280,000—$850,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based Hybrid Policy

Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.

Visa Sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa.