Humanoid

Robotics Test Engineer II at Humanoid (London, United Kingdom)

Humanoid· London, United Kingdom·

Role details

Work type
Onsite
Employment
Full-Time
Skills
PythonC++ROS2LinuxUbuntuShell ScriptingGitLab CIGitHub ActionsNVIDIA Isaac SimCANEtherCATEthernet
Benefits

23 Days Of Annual Leave · 15 Days Of 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 Robotic Test Engineer supports software release validation, policy evaluations, and end-to-end metrics collection on humanoid robots. The role involves running tests on real robots, comparing simulation against reality, and building data pipelines for release readiness.

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 Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities. This is not a standard web-QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship.

What You'll Do

Software Release Testing

  • Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet.
  • Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner.
  • CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges.
  1. Policy Evaluations
  • Eval Support: Help design and run policy evaluations for our learned behaviors — defining success criteria, executing trials, and collecting results in a reproducible way.
  • Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests.
  • Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team.
  1. E2E Metrics Collection
  • Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust.
  • Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release.
  • Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves.

What We're Looking For

  • Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical-systems domain.
  • Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++.
  • Robotics Middleware: Working knowledge of ROS2 — you understand topics, services, and how to interact with a running robot.
  • OS: Comfortable in Linux (Ubuntu) — terminal, shell scripting, basic system administration.
  • Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build.

Nice-to-Have:

  • Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity).
  • Exposure to Hardware-in-the-Loop (HIL) test benches.
  • Basic electrical debugging skills (multimeter, oscilloscope).
  • Awareness of safety-critical standards (IEC 61508, ISO 26262).

Tech Stack

  • Languages: Python (primary), C++ (reading), Bash
  • Robotics: ROS / ROS2
  • CI/CD: GitLab / GitHub Actions
  • Simulation: NVIDIA Isaac Sim
  • Hardware Interfaces: CAN, EtherCAT, Ethernet

What We Offer

  • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
  • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
  • Equity included–we believe builders should share in what they build.
  • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
  • Free daily breakfast, catered lunch, and snacks in‑office.
  • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
  • Freedom to influence the product and own key initiatives.

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.

Application questions