Compute Analyst

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About the role

As a Compute Analyst at Anthropic youll help us understand and navigate the rapidly evolving landscape of AI hardware. Working with our Compute Markets team youll 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.

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 Anthropics 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

You may be a good fit if you

• 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 landscapethe 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

Its a bonus if you

• 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

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process