Robotics Engineer (Navigation) | Autonomy Systems

On-site | Zurich CHF 100,000 – CHF 120,000 + Equity Robotics | Autonomy | Critical Infrastructure Snapshot Join a high-caliber, early-stage robotics startup building autonomous systems for real-world security and critical infrastructure environments . This is not simulation work. This is field deployment, safety constraints, and autonomy in the wild . You'll own the navigation and autonomy stack end-to-end — from sensor integration to control — in a high-trust, high-ownership environment . What You'll Do Own navigation stack: Sensor integration State estimation & SLAM Global planning & local control Build end-to-end systems: Drivers calibration fusion navigation control Ensure performance, safety, and reliability in real environments Deploy and iterate on robots in the field (not just simulation) Make architecture decisions and operate with high autonomy Tech Stack C++ · Python · ROS 2 SLAM · Sensor Fusion · State Estimation Navigation · Control Systems What We're Looking For Master's + 3+ years experience OR PhD (Robotics / Controls / Perception) Proven experience building end-to-end robotics systems Deep understanding of: SLAM State estimation Planning & control Systems integration Hands-on field deployment experience (non-negotiable) Strong ownership mindset + clear communication Bonus: Nav2, GTSAM, Ceres Multi-sensor fusion (LiDAR / vSLAM) Embedded systems / hardware integration AI/ML in robotics (perception, embodied AI) Compensation & Benefits CHF 100,000 – CHF 120,000 base Meaningful equity (early-stage upside) Work with a highly technical, low-ego team Access to best-in-class hardware & tooling Location & Eligibility On-site: Zurich (non-negotiable) Open to international candidates Work permit & relocation support available English is sufficient (no German required) Who Should NOT Apply Only simulation or lab experience No full-stack autonomy exposure Limited ownership / module-only experience Preference for remote work Ideal Candidate Profile Has shipped navigation/localization systems in real environments Thinks in systems, safety, and reliability — not just algorithms Comfortable working close to hardware and field constraints Thrives in high-ownership, ambiguity-driven environments Why This Role Build real-world robotics systems (not lab prototypes) Own a critical part of the autonomy stack (SLAM planning control) Work with a top-tier team (ex-Cambridge, UCL, Imperial, TUM, Helsing) Join at pre-seed stage maximum ownership + equity upside Contribute to systems impacting security, defense, and infrastructure resilience If you've built robots that actually work in the real world — and want to push autonomy beyond the lab into environments where reliability truly matters — this is where you do it. Apply now...