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Senior Software Engineer, Developer Productivity (AI)
320 000$
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Developer Productivity (AI): Designing and building scalable, reliable distributed infrastructure and shared libraries to support high-volume workloads and enable fast, reproducible builds for AI systems. Focus on evolving build environments, package management, and dependency systems while defining language ecosystem standards and integrating Claude into engineering workflows.
Location: Hybrid in San Francisco, New York City, or Seattle (USA). Expect to be in one of our offices at least 25% of the time.
Salary: $320,000 USD annually
Company
is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems, with a mission to make AI safe and beneficial for society.
What you will do
- Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads.
- Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds.
- Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity.
Requirements
- 6+ years of experience (not including internships or co-ops) in a Software Engineer role, building and operating large-scale developer infrastructure.
- 1+ years of experience (not including internships or co-ops) leading large scale, complex projects or teams.
- Deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment.
- Strong proficiency in Python, Rust and/or Go.
- Experience with container orchestration and infrastructure at scale.
- Excellent communication skills and enjoyment in supporting internal partners.
- At least a Bachelor's degree in a related field or equivalent experience.
- Must be able to work in one of the US offices (San Francisco, New York City, or Seattle) at least 25% of the time.
Nice to have
- Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management.
- Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar).
- Experience with Nix/NixOS/Docker and managing large image / package sets at scale.
- Experience building CLI tools, developer-facing services, and GitHub API and automation workflows.
Culture & Benefits
- Work as a single cohesive team on a few large-scale AI research efforts, valuing impact in advancing steerable, trustworthy AI.
- Emphasis on empirical science and a highly collaborative group with frequent research discussions.
- Competitive compensation and benefits.
- Optional equity donation matching, generous vacation and parental leave.
- Flexible working hours and a lovely office space for collaboration.
Hiring process
- Team matching is determined after the interview process based on performance, interests, and business priorities.
- Visa sponsorship is available, and will make every reasonable effort to get you a visa if an offer is made.
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