Senior Software Test Engineer

About the role

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.

ABOUT THE ROLE

We are looking for a Software Test Engineer to own the quality of the software products that live around our robots — the humanoid console, the inference servers infrastructure, and the backend services that connect everything together.

This is a software-first role. You will not need to bolt on a HIL bench or wire up sensors. You will be testing APIs, web UIs, distributed services, and the infrastructure that runs our models. You will work closely with backend engineers, frontend developers, and the ML platform team.

WHAT YOU'LL DO

- Console Testing: Own the quality of the humanoid operator console — front-end behavior, API contracts, edge cases, and the user-facing flows operators rely on.

- Inference Infrastructure: Test the inference servers and model-serving stack — latency, throughput, failover, version rollouts.

- Backend Services: Validate backend services and their APIs — auth, data pipelines, telemetry, fleet management — including contract testing and integration testing.

- Test Automation: Design and implement automated test suites that run in CI/CD; expand coverage as the platform grows.

- Quality Strategy: Define test methods, quality criteria, and metrics; participate in shaping the overall testing strategy for the software platform.

- Documentation: Document tests in our test tracking system and keep internal documentation accurate.

WHAT WE'RE LOOKING FOR

- Experience: 4+ years in software testing, with strong experience testing client-server systems (front-end, back-end, APIs).

- Test Design: Strong grasp of testing theory and test design techniques — equivalence partitioning, boundary analysis, state-based testing, and similar.

- Automation: Hands-on Python for test automation. Familiarity with an API testing framework (pytest + requests, or equivalent).

- Linux: Comfortable operating in Linux environments and interacting with services over the terminal.

- Version Control: Experience with Git.

- CI/CD: Understanding of CI/CD pipelines and how automated tests integrate into them.

- Test Tracking: Experience with a test management or task tracking system (Jira, TestRail, or similar).

Nice-to-Have:

- Front-end test automation (Selenium, Playwright, Cypress).

- Performance and load testing (k6, Locust, JMeter).

- Containerization (Docker, basic Kubernetes).

- Familiarity with ML model serving infrastructure (Triton, TorchServe, etc.) and the kinds of things that can go wrong there.