
Senior Software Test Engineer at Humanoid (London, United Kingdom)
Humanoid· London, United Kingdom·
Role details
23 Days Annual Leave · 15 Days Paid Sick Leave · Paid Company Holidays · Fully Funded Private Healthcare · Equity · Pension Scheme With 8% Contribution · Free Daily Breakfast, Catered Lunch, And Snacks · Collaboration With Top-Tier Engineers And Researchers
Humanoid at a glance
Humanoid builds commercially scalable, safe humanoid robots to automate labor-intensive industrial tasks in warehousing, logistics, and manufacturing.
Designs and builds general-purpose humanoid robots (the HMND 01 platform) that automate physical industrial tasks like goods handling, picking and packing, and kitting, orchestrated by an in-house AI fleet framework called KinetIQ.
Approximately $30M self-funded by founder Artem Sokolov; a ~$200M Series A was in talks as of early 2026 (not closed) raised · latest: Series A (in talks, ~$200M, no valuation set) as of February 2026 · backed by Artem Sokolov (founder, sole shareholder)
Summary
The Software Test Engineer supports software release validation, policy evaluations, and end-to-end metrics collection on humanoid robots. The role involves executing test pipelines, running regression suites, and comparing simulation results against reality to ensure software readiness for deployment.
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 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - 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.
- Knowledge of one other language (JavaScript/TypeScript, Go, or C++).
- Awareness of the robotics domain — knowing what a humanoid robot needs from its software stack.
Tech Stack
- Languages: Python (primary), JavaScript/TypeScript for front-end work
- Backend: REST/gRPC APIs, message queues
- Infrastructure: Linux, Docker, cloud (AWS/GCP)
- Tooling: Git, GitHub/GitLab, test management tooling
What We Offer
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Why work at Humanoid
- High-growth environment: Company grew headcount by 139% in a single year, indicating rapid scaling and opportunity for career advancement. 65+ open roles suggest strong hiring momentum.
- Talent from top robotics firms: Team includes alumni from Boston Dynamics, Sanctuary AI, Dyson, Ocado Technology, Arrival, Wayve, and others — offering a deep learning and collaboration environment.
- Technical focus: Engineering and technical roles represent 38% of the workforce, with senior-level hires at 23% of the team. The company emphasizes hardware, AI, machine learning, and control systems.
- Mission-driven: Clear purpose to automate undesirable, unsafe, and repetitive work — appealing to candidates who want to make a tangible societal impact.
- Global presence: Offices in London (HQ), Cambridge (USA), and Burnaby (Canada), plus operations in 16 countries — offering potential for international mobility and remote collaboration.
- Innovation culture: Described as a place where engineers and researchers “move from demo to deployment” and “not just in the lab.” The CTO emphasizes building systems that perform in the real world from day one.
- Office/Hybrid policy: Not explicitly stated, but the company has physical offices in three countries and a distributed team across 16 nations — likely supports hybrid/remote with in-office collaboration for engineering roles.