Staff+ Software Engineer, Inference Velocity at Anthropic
Confirmed open
Anthropic is hiring a staff-plus software engineer focused on inference performance and developer velocity.
- Location
- Remote
- Work arrangement
- remote
- Technologies
- AWS, Kubernetes
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Role overview
The Staff+ Software Engineer, Inference Velocity opening at Anthropic is centered on Set technical direction and deliver systems for inference performance and developer velocity. The employer also lists Design scalable, reliable architecture and guide implementation across teams. and Partner with research, product, security, policy or infrastructure groups to solve complex problems. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a staff-plus software engineer focused on inference performance and developer velocity. The named technologies include AWS, Kubernetes.
The posting identifies 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team and 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… as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY / San Francisco, California, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.
Responsibilities
- Set technical direction and deliver systems for inference performance and developer velocity.
- Design scalable, reliable architecture and guide implementation across teams.
- Partner with research, product, security, policy or infrastructure groups to solve complex problems.
- Raise engineering quality through reviews, documentation, observability and operational practice.
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: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering 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
- Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale
- Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows
- Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware
- Familiarity with Kubernetes-based development and job scheduling environments
- Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company
- The annual compensation range for this role is listed below.
Technology in this role
- AWS: The named technologies include AWS, .
- Kubernetes: The named technologies include AWS, .
- Go: The posting identifies 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team and Deep background in systems engineering, build/test infrastructure, or ML infrastructure, .
- CI/CD: The posting identifies 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team and Deep background in systems engineering, build/test infrastructure, or ML infrastructure, .
- CUDA: 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 .
Role-specific candidate guide
Preparation notes based on the employer’s stated responsibilities and qualifications.
Understanding the scope. This Staff+ Software Engineer, Inference Velocity position at Anthropic is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The Staff+ Software Engineer, Inference Velocity opening at Anthropic is centered on Set technical direction and deliver systems for inference performance and developer velocity. The employer also lists Design scalable,…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the software engineering area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.
What the responsibilities.
Benefits
- Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
- Opportunity to support Anthropic’s frontier AI mission.
About Anthropic
Anthropic develops advanced AI systems with a focus on reliability, interpretability and safety.
Employer websiteHow to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-10-13