Developer Productivity Engineer

Eka•Cambridge, MA

About The Position

Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment. Making progress towards the above requires tools that let researchers and engineers move quickly from an idea to a working experiment and, ultimately, to a real robot. We're looking for an engineer to own and improve that development experience. You'll design, implement, and maintain our build system and developer tooling, working directly with the people who use them. Your impact will show up in faster feedback, reliable builds, easier onboarding, and fewer interruptions across the team.

Requirements

  • Track record of building and maintaining build systems, developer tools, or CI infrastructure used by other engineers.
  • Ability to write clear, maintainable software and treat internal tools as products with users.
  • Deep understanding of dependency graphs, caching, reproducibility, and the tradeoffs involved in speeding up builds and tests.
  • Proficiency with Python, Linux, shell tooling, and debugging problems across language and system boundaries.
  • Ability to take an ambiguous problem, work with its users, and carry a solution through implementation and adoption.

Nice To Haves

  • Hands-on experience with Bazel
  • Experience managing C++ toolchains, Python packaging, GPU software dependencies, or machine learning training infrastructure.
  • Prior robotics or reinforcement learning experience

Responsibilities

  • Own and evolve our Bazel build system, including build rules, toolchains, dependency management, and remote caching.
  • Make builds and tests faster and more reliable across local development and CI.
  • Improve everyday workflows, from setting up a development environment to debugging a failed test or packaging a training job.
  • Build tools that make common tasks straightforward and failures easy to understand.
  • Work with researchers and robotics engineers to identify recurring friction, prioritize improvements, and measure whether they help.
  • Keep development environments and build outputs reproducible across Linux, macOS, and GPU-enabled containers.
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