Engineering Manager, GPU (ML Accelerator)
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · New York City, NY · Remote-Friendly US (Travel Required) · San Francisco, CA · Seattle, WA
CHECKED 4H AGO
Frontier labremotemanager$500k–$850k
At a glance
Highlights
- Lead engineering to scale inference and training systems efficiently.
- Remove bottlenecks to maximize impact of compute resources.
- Drive performance work with implications for safe AI development.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
An engineering leader with ML or distributed systems background who thrives in fast-paced environments. Builds strong stakeholder relationships, learns complex systems quickly, and is motivated by safe, beneficial AI.
Requirements
- 1+ years of management experience in a technical environment, particularly performance or distributed systems
- Background in machine learning, AI, or similar related technical field
- Bachelor's degree or equivalent combination of education, training and/or experience
- Experience managing teams through rapid growth and change
- remote policy
- In office at least 25% of the time, some roles may require more
- visa sponsorship
- We sponsor visas where possible, but not for every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google