Software Build & Release Engineer

present of AI; San Francisco (CA); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

Efficient Computer in San Francisco is seeking a Senior Build & Release Engineer to own the GitHub-based build and release system used by the engineering team. You will diagnose failures across code, tooling, and cloud layers while delivering reliable, documented processes.

The role emphasizes clear runbooks and communication, with experience in CI/CD, release engineering, and edge AI hardware context, shaping robust pipelines for complex software stacks.

Qualifications

• 5+ years in build, release, or infrastructure work.
• Deep knowledge of GitHub Actions.
• Experience with CMake and Make.
• Ability to document workflows clearly.

Responsabilités

• Own a GitHub-based build and release system used by the engineering team.
• Debug failures across code, configuration, tooling, and cloud providers.
• Produce clear runbooks and docs for operations and onboarding.

Connaissances

Build & release ownership

Debugging across the stack

Documentation & runbooks

Outils

GitHub Actions

CMake

Make

Description du poste

Engineering · San Francisco, Bay Area OR Pittsburgh, PA · Senior level

The role centers on owning a GitHub based build and release system that the whole engineering team relies on. A strong candidate brings at least five years of hands on build, release, or infrastructure work, deep GitHub Actions knowledge, CMake and Make experience, and the ability to debug failures across code, configuration, tooling, and cloud providers. Clear documentation and plain communication matter as much as technical depth.

How it fits the AI era

AI tools can draft pipeline configs, suggest caching fixes, and summarize failing logs, which speeds up routine build work. What stays human is root cause judgment, deciding whether a failure sits in code or infrastructure, and keeping releases predictable and secure. The role also supports a company building low power processors for edge AI, so reliable builds directly enable that hardware and compiler work.

How it builds AI experience

This role builds AI adjacent experience rather than model work: running CI for compilers and processor software, managing build compute across cloud providers, and handling artifact integrity. A candidate can strengthen this by practicing GitHub Actions at scale, remote execution and caching, and supply chain security basics like signing and SBOMs. Familiarity with how AI frameworks are built and tested would help.

Worth showing

• GitHub Actions workflows
• CMake and Make
• Debugging across the stack
• Clear runbooks and docs

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Efficient Computer

Post-von-Neumann spatial processors and optimizing compilers for edge AI, which the company describes as ultra-low-power.