Compute Analyst

Anthropics Technology Ltd•New York, NY

27d•$280,000 - $320,000•Hybrid

About The Position

As a Compute Analyst at Anthropic, you'll help us understand and navigate the rapidly evolving landscape of AI hardware. Working with our Compute Markets team, you'll maintain our internal database of upcoming chips and hardware roadmaps, participate in discussions and negotiations with vendors, and contribute to strategic analysis of our model training and inference posture. This role is ideal for someone who has developed strong instincts for semiconductor analysis and wants to apply that expertise directly to decisions at the frontier of AI development.

Requirements

Have 1-3 years of experience in semiconductor analysis, compute market research, or a related field
Possess strong quantitative skills and can build models to evaluate hardware tradeoffs
Demonstrate genuine curiosity about chips, AI hardware, and the compute landscape—the kind of person who reads vendor whitepapers for fun
Can communicate technical concepts clearly to both technical and non-technical audiences
Are highly organized and can maintain detailed, accurate records across a complex and fast-moving space
Thrive in ambiguous environments and can operate independently while knowing when to escalate

Nice To Haves

Have direct experience analyzing GPUs, TPUs, or custom AI accelerators
Understand the technical fundamentals of model training and inference workloads
Have existing relationships with hardware vendors or industry contacts
Are familiar with supply chain dynamics, fab capacity, and semiconductor economics
Have written publicly about compute markets or AI hardware

Responsibilities

Maintain and expand our internal database tracking upcoming chips, roadmaps, and relevant hardware developments across the industry
Take meetings with hardware vendors, evaluating new offerings and surfacing relevant opportunities to the team
Support strategic analysis of Anthropic's compute posture, including training and inference hardware decisions
Monitor industry developments, synthesizing information from vendor announcements, technical publications, and market intelligence
Collaborate with infrastructure, finance, and technical teams to inform hardware procurement and capacity planning decisions
Develop frameworks and models to compare hardware options across performance, cost, availability, and strategic dimensions