Senior Software Controls Engineer

Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable.

Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site.

Build the tooling that lets engineers compare controller variants and releases side by side.

Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support.

Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible.

Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong.

Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it.

Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them.

Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real.

Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows.

Nice to have:

Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring.

Hardware-in-the-loop test rigs and physical regression testing.

Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation.

Operating or supporting a fleet of robots or other distributed physical devices.

Data engineering: pipeline orchestration, time-series databases, large-scale log processing.

Release management or quality gates for safety-relevant software.