Builder Acceleration Engineer, Fauna

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. Were looking for an Acceleration-focused Engineer who doesnt just support AI-augmented development but pushes its boundaries alongside the rest of the team.

This is a highly hands-on role where youll 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. Youll own the bring-up and continuous delivery of full OS images to application and autonomy teams and youll design the technical foundations that improve engineering velocity reduce toil and increase software quality making pragmatic architecture decisions based on the organizations 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. Were 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
As a Builder Acceleration Engineer youll own the systems that keep the development feedback loop fast and reliable as AI-driven development dramatically increases code throughput. Youll build and maintain CI/CD pipelines automated test environments on-target deployment workflows and developer-facing tooling across a complex embedded platform.

- 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 filesystem 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


A day in the life
You check the CI dashboard and spot a spike in overnight failures from concurrent agent-driven commits. You quarantine a flaky HIL test and push a fix. At standup you demo the new parallel test runner that cuts pipeline time from 45 minutes to 20. Then you spend a few hours paired with a platform EE and work on the automated flash-and-validate sequence for the new custom hardware boards. You wrap the day working with another SDE to trace why their node passes in the containerized environment but fails on-target finding a timing difference in the test harness.

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 wont arrive until building for robotics becomes far more accessible. Today too much effort is spent reinventing the fundamentals. Were 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. Were building robots that feel responsive expressive and genuinely useful.
At Fauna youll work at the frontier of this space helping define how robots move manipulate and interact with people in natural environments. Its 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 were interested in hearing from you.


- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- - 3 years of software engineering experience with a focus on CI/CD infrastructure developer tools or build systems
- - Proficiency in Python and at least one other infrastructure automation language
- - Experience designing and maintaining CI/CD pipelines (Jenkins GitHub Actions GitLab CI or similar) with a focus on speed and reliability at scale
- - Experience with Linux-based OS development and deployment including building OS images BSP/kernel work init/services configuration and OTA update systems
- - Familiarity with AI-assisted development workflows and the infrastructure challenges of high-volume automated code generation
- - Experience with containerization and build environment management (Docker Kubernetes or similar)
- - Experience with build systems (CMake Bazel Make or similar) and cross-compilation for embedded or multi-architecture targets

- - Experience building on-target test infrastructure that deploys and validates software on physical hardware (development boards HIL rigs or device farms)
- - Experience with OTA update frameworks or software deployment systems for embedded or IoT devices (SWUpdate RAUC Mender or similar)
- - Experience building developer-facing dashboards or observability tooling (Grafana custom web UIs or similar)
- - Experience with cloud infrastructure (AWS) for data pipelines telemetry collection or fleet management
- - Background in robotics consumer electronics autonomous vehicles or other complex embedded product development
- - Experience with heterogeneous compute platforms and ARM-based embedded hardware
- - Experience with simulation or emulation environments for embedded software validation
- - Strong communication skills with ability to explain infrastructure decisions and trade-offs to engineers across disciplines
- - Experience building AI-assisted developer tools or integrating LLMs into engineering workflows (automated triage test generation agentic automation or similar)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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