Роль четко определена с акцентом на оптимизацию ядер TPU, а диапазон зарплаты высокий, что отражает спрос на специализированные навыки в области ИИ. Однако требование гибридной работы может ограничить некоторых кандидатов.
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Гибридный формат работыВысокий диапазон зарплатыСильный фокус компанииЧеткое определение роли
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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