- Robot type
- Humanoid
- Location
- San DiegoCaliforniaUSA
- Job type
- Hardware
- Posted
- Oct 28, 2026
- Salary
- $128,000–$160,000 a year
Senior Robotics Integration Engineer
This job has closed.
Humanoid is no longer taking applications for this role. See open roles at Humanoid or browse similar open jobs.
Job description
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Job responsibilities
- Build PR-triggered pipelines that schedule, run, and report hardware tests: orchestration, device allocation, firmware flashing, power and reset control, data capture, and teardown.
- Define what "tested on hardware" means. Build and grow regression infrastructure across motion control, locomotion, manipulation, perception, safety, and power, and enabling each new robot capability to be developed…
- Design and run the HIL test farm, from single-actuator benches to full-robot test cells, operating safely and unattended with high uptime.
- Build a hardware test signal engineers trust: per-PR reports, dashboards, and alerts, plus correlation of simulation and hardware results to surface sim-to-real gaps.
- Work with embedded, controls, ML, mechanical, and manufacturing teams to make testability a design requirement, and align with the Integration & Testing team in London on shared strategy and tooling.
Job requirements
- 5+ years in test automation, CI/CD, or test and integration engineering for hardware products such as robotics, automotive, aerospace, or drones.
- Experience building or scaling HIL or hardware-in-CI systems: rig design, test orchestration, device farms, or automated hardware regression.
- Strong Python and/or C++, and fluency with CI/CD tooling (like GitHub Actions), including self-hosted runners on physical hardware.
- Comfort at the hardware/software boundary: reading schematics, wiring a bench, debugging over CAN, EtherCAT, or serial, and scripting power supplies, DAQs, and instruments.
- Experience with Nvidia based embedded targets and firmware flashing workflows and bootloader recovery via JTAG.
- Experience with Linux based CLI systems.
- A practical approach to flaky tests and to keeping a hardware test signal trustworthy.
- Root cause analysis skills: telling a bad part from a bad assembly or a bad design.
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