Performance Engineer, Inference Engine
Anthropic · San Francisco, CA | New York City, NY · AI Research & Engineering · listed September 9, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$350,000 – $850,000 USD
Requirements listed
6
Length
1,347 words
In the posting’s own words
You will work on building and optimizing this system at Anthropic scale: improving throughput, cost, reliability, and latency across all accelerator and cloud platforms. You are intimately familiar with the hardware and bandwidth numbers (FLOPs, HBM, PCIe, RDMA, network links, etc.) and can model a problem quickly: where the time and bytes go, and what sets the bound. The role is deeply technical and high-impact, and suits engineers who enjoy working across accelerator programming, high-performance systems that seamlessly coordinate between host and device, and large-scale distributed systems. Familiarity with the transformer architecture is a plus.
What it asks for · 6
- A working mental model of LLM inference: how prefill and decode land on an accelerator's compute, memory, and interconnect, and what the host is doing meanwhile
- Proven quick learner: ramped fast in deep, unfamiliar systems and shipped consequential changes quickly
- Strong systems programming (Rust, C++, or similar), with care for code quality and tests
- Analytical about performance: observe and profile first, form a hypothesis, test it, then change the code and measure again
- Low ego: ask the naive question, take feedback well, pick up slack outside your job description
- Enjoy pair programming (we love to pair!) and care about the societal impacts of your work
Also a plus
- Experience inside an LLM serving engine and a sense of where its abstractions strain
- GPU/Accelerator programming
- OS internals
- Language modeling with transformers
- Experience building an allocator, cache, scheduler, or high-bandwidth transport
- Fluency in Rust
- Experience making systems reproducible: determinism, replay, property-based tests
Tools and skills named
Models & research
- Inference6×
- LLM4×
- GPU2×
Languages
- Rust4×
- C++2×
Cloud & infra
- Observability2×
- Distributed systems
Ways of working
- Slack2×
Words the posting leans on
- model13×
- systems11×
- accelerator8×
- programming7×
- change6×
- experience6×
- safety6×
- tests6×
- claude5×
- every5×
- token5×
- build4×
- care4×
- code4×
- efficiency4×
- ensuring4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Anthropic
- Account Executive, AI NativeNew York City, NY; San Francisco, CA | New York City, NY
- Account Executive - DNBSingapore
- Account Executive - Public Sector (ASEAN)Singapore
- Account Executive, StartupsSan Francisco, CA | New York City, NY
- Account Executive, StartupsDublin, IE
- Accounting, Revenue Internal ControlsSan Francisco, CA | Seattle, WA