About The Position

Boston Dynamics seeks a Software Developer In HIL Test Automation to build and expand Hardware-in-the-Loop (HIL) and simulation infrastructure for the Atlas Humanoid Robot. In this role, you’ll be responsible for ensuring the quality, accuracy, and performance of our Atlas robot through robust automation. Candidates will apply all of their organizational and technical expertise.

Requirements

  • 2+ years of prior software development, with strong experience in Python for automation and scripting.
  • Extensive experience with performance optimization of systems, with a focus on Linux expertise.
  • Analytical expertise - ability to develop, interpret and present system reports and understand the
  • Excellent debugging skills - both overall methodology as well as knowledge of available tools.
  • Excellent communication and interpersonal skills.

Nice To Haves

  • Experience with C/C++ is a plus.
  • Experience with Hardware-in-the-Loop (HIL) testing and lab automation is highly desirable.
  • Experience with robotic simulations.
  • Experience with source code control, build, and CI/CD toolchains, specifically Git/GitHub, and familiarity with tools like Jenkins, CircleCI, GitLab CI/CD, or similar.
  • Experience with real-time systems and multi-threaded programming.
  • Previous experience working on legged or humanoid robot platforms.

Responsibilities

  • Establish tools and processes to monitor key system performance indicators (KPIs) on our HIL and simulated systems.
  • Develop tools to ensure our automation avoids system bottlenecks, such as network bandwidth, CPU usage and available memory.
  • Develop simulated sensor models
  • Develop, refine, and validate realistic sensor models for Atlas, including sensors, camera and actuator modeling.
  • Collaboration with the Atlas teams to ensure the models accurately reflect noise characteristics, latency, and real-world performance.
  • Profile and optimize Python automation and test infrastructure code for speed and stability, enabling faster iteration of test runs.
  • Build and maintain Python-based test infrastructure, supporting tools, and pipelines to enhance developer efficiency and scale testing capabilities across the organization.
  • Get your hands dirty. Be familiar with how to use Atlas, develop automated test cases, and set up workflows in Jira or other tools.
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