1 день назад
Software Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Robotics): Building automated metrics, test infrastructure, and dashboards that measure control quality across humanoid robots and fleets with an accent on reproducible evaluation, telemetry pipelines, and statistical analysis. Focus on integrating control evaluation into simulation and hardware-in-the-loop CI, detecting regressions, and tracking performance variation across robot units.
Location: London, UK; on-site
Company
Builds commercially scalable and safe robots, including the HMND-01 Alpha platform used in industrial pilots.
What you will do
- Define precise, computable metrics for control quality, including smoothness, latency, tracking error, and accuracy.
- Build pipelines that calculate metrics from recorded robot data, simulation runs, and live telemetry.
- Develop deterministic automated test harnesses for control releases and integrate evaluation into simulation and hardware-in-the-loop CI.
- Create tooling for side-by-side comparison of controller variants and releases, with automated pass/fail thresholds.
- Build per-robot and fleet-level test suites, dashboards, and tracking for control drift, variation, and degradation.
- Work with control engineers to instrument real-time code and make control performance measurable and reliable.
Requirements
- Professional robotics experience with real systems, including robot data, timing, synchronization, and hardware experiments.
- Strong Python skills and enough modern C++ to work confidently in and instrument a real-time control codebase.
- Experience building test automation, evaluation frameworks, or benchmarking infrastructure for complex systems.
- Sound measurement and data-analysis judgment, including sampling, noise, and statistical significance.
- Experience with ROS or ROS2, message recording and replay, time synchronization, CI/CD pipelines, and Git-based workflows.
Nice to have
- Knowledge of robot kinematics, dynamics, or control systems.
- Experience with hardware-in-the-loop rigs, physical regression testing, or simulation environments such as MuJoCo and Isaac Sim/Isaac Lab.
- Experience operating fleets of robots or other distributed physical devices.
- Data engineering experience with pipeline orchestration, time-series databases, or large-scale log processing.
- Experience with release management or quality gates for safety-relevant software.
Culture & Benefits
- Competitive equity through stock options.
- More than 30 paid days off, including annual leave, UK bank holidays, and company closure days.
- Private healthcare with virtual and in-person care.
- Pension scheme with an 8% total contribution on full earnings.
- Daily breakfast, catered lunch, and snacks in the office.
- Work alongside engineers, researchers, and product experts developing robotics and AI systems, with direct access to founding leadership.
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