Anthropic
Staff+ Software Engineer, Inference Velocity
$405K–$485K
Remote-Friendly (Travel-Required) +4 · Remote · Staff · Full-time · Posted Jun 12, 2026
- Location
- Remote-Friendly (Travel-Required)
San Francisco, CA
Seattle, WA
New York City, NY
San Francisco, California, United States - Experience
- 8+ years of software engineering experience; minimum years stated elsewhere as correlated with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic says it will make every reasonable effort to obtain a visa and provides immigration counsel.
About the job
Leads the technical direction and roadmap for developer productivity infrastructure supporting Anthropic’s inference engineers across GPU, TPU, and Trainium platforms.
What you'll do
- Own architecture and roadmap for toolchains, development environments, CI/CD, and accelerator toolchain management.
- Build validation automation, shared development infrastructure, and productivity metrics and alerting; identify and eliminate workflow bottlenecks.
- Coordinate developer productivity work with central Infrastructure and mentor engineers through technical collaboration and reviews.
What they ask for
- 8+ years of software engineering experience, including significant time as a technical lead or anchor on an infrastructure, platform, or developer productivity team.
- Deep experience in systems, build/test infrastructure, or ML infrastructure, including hands-on toolchain, CI/CD, and workflow optimization.
- Experience owning toolchains or development environments for compute-intensive workloads, and depth in at least one accelerator ecosystem: CUDA/GPU, TPU, or Trainium/AWS Neuron.
- Track record using engineering metrics to drive improvement; experience aligning technical work across organizational boundaries and strong communication skills.
Nice to have
- Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale.
- Experience with shared development environments, accelerator CI/CD, Kubernetes-based development and job scheduling, or tech leadership at a fast-growing AI/ML company.
Pay
$405,000 — $485,000 USD (annual base salary)
Tools
CUDA, TPU, Trainium, AWS Neuron, XLA, Triton, NeuronX, Kubernetes
AI focus
Supports the infrastructure and developer workflows used to build and serve AI models; no direct AI research or model development duties are stated.
Model-written summary · the original posting is authoritative