Performance Engineer (AI)

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid work requires staff to be in 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 develops reliable, interpretable, and steerable AI systems focused on safety and societal benefit.

What you will do

• Identify novel systems problems involved in running machine learning algorithms at supercomputing scale.
• Develop systems that improve the throughput and robustness of large distributed systems.
• Implement low-latency, high-throughput sampling for large language models and GPU kernels for low-precision inference.
• Design load-balancing algorithms and quantitative models to optimize serving efficiency and system performance.
• Build fault-tolerant distributed systems and debug kernel-level network latency in containerized environments.
• Collaborate through pair programming and research discussions.

Requirements

• Significant software engineering or machine learning experience, particularly at supercomputing scale.
• Bachelor’s degree or an equivalent combination of education, training, and experience.
• Relevant education, training, or professional experience in a field related to the role.
• Results-oriented approach, flexibility, and focus on impact.
• Interest in machine learning research and the societal impact of AI systems.

Nice to have

• Experience with high-performance, large-scale machine learning systems.
• GPU or accelerator programming experience.
• Experience with ML framework internals, operating system internals, or transformer-based language modeling.

Culture & Benefits

• Collaborative research environment focused on a few large-scale efforts.
• Flexible working hours and a collaborative office environment.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, subject to role and candidate eligibility.

Hiring process

• Applications are reviewed on a rolling basis; there is no application deadline.
• Candidate AI usage is governed by Anthropic’s application policy.