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Staff+ Software Engineer, Inference Velocity

Anthropic· Software Engineering - Infrastructure
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Hybrid (Remote with 25%+ in-office expectation)$405k - $485kfull-timePosted 4mo ago

About the role

Senior IC role leading Inference Developer Productivity, driving toolchains, workflows, and multi-accelerator (CUDA, TPU, Trainium) infrastructure to boost engineering velocity in inference software at Anthropic.

Responsibilities

  • Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms
  • Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology
  • Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware
  • Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early and drive them to resolution
  • Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them
  • Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt
  • Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount

Qualifications

  • 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team
  • Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization
  • Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems)
  • Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others
  • A track record of defining and using engineering metrics to drive improvement: dashboards, SLOs on developer workflows, or initiatives that measurably improved velocity
  • Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure
  • Strong written and verbal communication, and the ability to influence technical direction without formal authority

Skills

Required:Technical leadership on platform/infrastructure teamsAccelerator toolchainsCI/CD for accelerator workloads

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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