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Tpu Kernel Engineer (AI)

280 000 - 850 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Tpu Kernel Engineer (AI): Designing and optimizing kernels for TPU to improve performance of large-scale ML systems including research, training, and inference with an accent on low-level optimization and system performance. Focus on debugging kernel performance at assembly level, implementing custom communication algorithms, and adapting models for low-precision inference.

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.

Annual salary: $280,000–$850,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Identify and resolve performance issues across ML research, training, and inference systems.
  • Design and optimize kernels for TPUs and other ML accelerators.
  • Provide researchers with feedback on how model changes affect system performance.
  • Implement low-latency, high-throughput sampling for large language models.
  • Adapt models for low-precision inference and build quantitative system-performance models.
  • Design collective communication algorithms and debug kernel performance at the assembly level.

Requirements

  • Significant experience optimizing ML systems for TPUs, GPUs, or other accelerators.
  • Experience solving large-scale systems problems and performing low-level optimization.
  • Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
  • Ability to collaborate through pair programming and communicate effectively in a research environment.
  • Ability to work from one of the listed US offices at least 25% of the time.

Nice to have

  • Experience with high-performance, large-scale ML systems.
  • Experience designing and implementing kernels for TPUs or other ML accelerators.
  • Deep understanding of accelerators, including computer architecture.
  • Knowledge of ML framework internals and transformer-based language modeling.

Culture & Benefits

  • Collaborative research environment with frequent research discussions and pair programming.
  • Flexible working hours and an office designed for collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and benefits, including optional equity donation matching.
  • Visa sponsorship is available, with immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.

Hiring process

  • Candidates may use AI in the application process according to Anthropic’s candidate AI usage policy.

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