Engineering Productivity Engineer

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

About the role

Rhoda AI builds general-purpose robots end to end: the AI models, the robot software, and the hardware. Engineering Productivity owns the path from a commit to software deployed to the production fleet, or in the cloud. You will build the build, test, release, and deployment systems and processes that every Rhoda engineer uses every day.

This is a generalist role. You will work across build, release, and test automation rather than owning one narrow slice, and you will regularly cross the line between cloud software and embedded robot software.

What you'll do

Build and CI

• Own the build systems for our robot and cloud software (Bazel, Yocto) and make them fast, hermetic, and reproducible.

• Design, build, and maintain our CI and testing infrastructure, including self-hosted runners on Kubernetes and runners attached to hardware test benches.

• Own artifact and container registries, and dependency storage.

• Track and reduce build time, CI flakiness, and CI cost.

• Work with engineers to find and remove friction in the development workflow.

Release

• Own versioning and promotion of artifacts from build to staging to production.

• Deploy cloud services, and build and roll out robot images and firmware over the air.

• Build rollback and release-safety mechanisms with SRE, deployment engineers, and operations.

Test automation

• Build test frameworks and the CI gates that block bad changes, and all the necessary infrastructure that makes them work.

• Build software harnesses that run automated tests on hardware-in-the-loop (HIL) benches and in simulation (SIL).

• Partner with QA engineers to turn manual test plans into automated suites.

What we're looking for

• 3+ years of industry experience building, not only operating, developer infrastructure (see levels below).

• In-depth knowledge of the technology, processes, and design patterns behind software build, release, and test automation.

• Production-quality code in one of Python, Go, C++, or Rust.

• Systematic debugging across the stack: you isolate a failure layer by layer (code, build, environment, infrastructure, hardware) and fix the root cause.

Strong plus

• Hands-on Kubernetes experience, especially self-hosted or bare-metal clusters.

• Embedded Linux, firmware, or bootloader experience; Yocto or cross-compilation toolchains.

• Hardware-in-the-loop test benches or robotics software.

• Large-scale build systems such as Bazel, with remote caching or execution.