Hardware Systems Architect
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define system architecture across compute, networking, power, cooling, mechanical design, and datacenter interfaces. You will write specifications, evaluate partner designs, make build-versus-buy decisions, model architecture trade-offs, and establish validation and qualification plans. You will work with infrastructure and ML performance stakeholders to ensure hardware supports production workloads.
Requirements
- Deep hands-on expertise in a hardware-systems domain for large-scale compute or networking systems
- Experience owning hardware system architecture at machine, rack, row, or cluster scale
- Experience authoring hardware specifications and requirements
- Experience taking hardware from architecture through bring-up and high-volume deployment
- Experience reviewing external vendor and partner designs
- Ability to evaluate trade-offs across hardware domains
- Technical leadership experience
- Strong written communication
- 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI or ML, or high-end networking platforms
Responsibilities
- Own system architecture from requirements through design review and deployment
- Write and maintain system, board, interface, and rack specifications
- Review vendor designs and make build, buy, or co-design decisions
- Define interconnect and networking architectures
- Drive board, chassis, system, rack, and data-hall architecture
- Develop performance simulations and hardware models
- Define platform validation, bring-up, qualification, telemetry, and reliability strategies
- Partner with infrastructure software and ML performance stakeholders on hardware decisions
- Establish AI-assisted approaches, review forums, specification standards, and partner engagement practices
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
