Full Time
A
Engineering Manager Accelerator Platform
at Anthropic
🌍 San Francisco, CA | New York City, NY | Seattle, WA
📅 Posted Mar 8, 2026
Quick Summary
Anthropic is seeking an Engineering Manager to lead their Accelerator Platform team, a critical role in bridging the gap between raw silicon and production-level AI inference. This is an exciting opportunity to shape the future of AI infrastructure by normalizing diverse hardware platforms and empowering Anthropic's AI models. The ideal candidate will bring a **fervor** for hardware enablement and a passion for building scalable, reliable AI systems.
Key Responsibilities
- Lead and mentor a team of engineers responsible for bringing up and normalizing new hardware platforms for AI inference.
- Collaborate with low-level systems teams and serving infrastructure teams to ensure seamless integration of new accelerators.
- Define and maintain the platform roadmap, prioritizing features and improvements based on business needs and technological advancements.
Requirements
- 5+ years of experience in software engineering, with a focus on hardware enablement or infrastructure.
- Strong understanding of computer architecture and hardware-software interfaces.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Benefits
- Competitive compensation and equity package.
- Opportunity to work on cutting-edge AI technology.
- Professional growth and development opportunities within a rapidly growing company.
Required Skills
TPUs
Trainium
GPUs
Hardware Enablement
Inference
Software Stacks
Systems Engineering
Platform Engineering
Estimated Salary Range for Engineering Manager Accelerator Platform in San Francisco, CA | New York City, NY | Seattle, WA
BELOW AVERAGE
< $210k/yr
✨
AVERAGE RANGE
$210k - $250k
/year
ABOVE AVERAGE
> $250k/yr
💡 Salary estimates based on aggregated data from public sources. Actual salaries may vary.
Job Description
About Anthropic
Anthropic's 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
Every time someone talks to Claude -- through the API, claude.ai, our cloud partners, or any of our expanding surfaces -- the request lands on an AI accelerator. Not one kind, many kinds: TPUs, Trainium chips, GPUs. Each arrives with its own software stack, performance characteristics, failure modes, and operational quirks. Someone has to take raw silicon and turn it into a platform that the rest of Anthropic can build on without thinking about which chip is underneath. That's us.
The Accelerator Platform team owns the bringup and normalization of new hardware platforms for Anthropic's first party inference fleet. We sit between the low-level systems teams and the serving infrastructure that runs production inference -- bridging the gap so that every new accelerator generation ships as a first-class production platform. It's deeply technical work at the intersection of hardware enablement, di
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