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Builder Acceleration Engineer, Fauna

Job in San Francisco, San Francisco County, California, 94102, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Software Engineer
Job Description & How to Apply Below

Builder Acceleration Engineer

AI is rewriting the rules of software development. Our engineers use AI agents to write, refactor, and ship code at a pace that was impossible two years ago. But that velocity is only real if the infrastructure behind it can keep up. We're looking for an Acceleration-focused Engineer who doesn't just support AI-augmented development, but pushes its boundaries alongside the rest of the team.

This is a highly hands-on role where you'll be an AI-native engineer yourself, using agents and generative tools to build the OS images, CI/CD systems, developer workflows, and internal platform capabilities that help engineers develop, test, ship, and debug software across robot, device, and cloud surfaces. You'll own the bring-up and continuous delivery of full OS images to application and autonomy teams, and you'll design the technical foundations that improve engineering velocity, reduce toil, and increase software quality, making pragmatic architecture decisions based on the organization's stage, scaling needs, and safety/security requirements.

Your work determines how quickly the team can go from code change to validated result on real hardware.

A core part of this role is AI enablement: embedding AI-native tooling and agentic automation directly into engineering workflows so that build, test, triage, and deployment become faster, more reliable, and require less manual effort. We're looking for someone who enjoys building robust internal platforms, modern robotics OS stacks, and AI-assisted workflows that other engineers rely on.

Key job responsibilities

  • Design and implement CI/CD pipelines supporting parallel build, test, and deployment across multiple compute targets (Linux application processors, real-time microcontrollers, safety-critical processors)
  • Build automated test infrastructure that scales with high commit volume: test orchestration, parallelization, flaky test detection, and feedback loops that give signal fast
  • Embed AI-native tooling and agentic automation into engineering workflows: automated failure triage, intelligent test selection, AI-driven code review checks, root-cause analysis for pipeline failures, and self-serve workflows that reduce manual intervention
  • Develop on-target deployment automation for target hardware so engineers get hardware-validated feedback without manual flash cycles
  • Own image build, release management, and OS image composition including versioning, reproducible builds, commit-to-image traceability, and working knowledge of the platform stack (BSP, kernel configuration, device trees, root file system layers)
  • Define and track engineering effectiveness metrics (build times, queue times, test failure rates, flaky test trends, deployment lead time) and build developer-facing dashboards that surface actionable insights
  • Maintain OTA update infrastructure and data collection pipelines, bringing software to test robot fleets and telemetry back to cloud storage for analysis
  • Design and maintain containerized build and development environments that minimize friction in the inner development loop
  • Ensure software supply chain integrity through reproducible builds, image signing, artifact provenance tracking, and access controls across the build and release pipeline

About the team

Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.

We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.

Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We're building robots that feel responsive, expressive, and genuinely useful.

At Fauna, you'll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It's an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.

If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we're interested in hearing from you.

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