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  "job_title": "Robotics Engineer (Navigation), Autonomy Systems | Zurich",
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  "job_description": "• On-site | Zurich\n• CHF 100,000 – CHF 120,000 + Equity\n• Robotics | Autonomy | Critical Infrastructure\n\nSnapshot\n\nJoin a high-caliber, early-stage robotics startup building autonomous systems for real-world security and critical infrastructure environments.\n\nThis is not simulation work.\n\nThis is field deployment, safety constraints, and autonomy in the wild.\n\nYou'll own the navigation and autonomy stack end-to-end — from sensor integration to control — in a high-trust, high-ownership environment.\n\nWhat You'll Do\n• Own navigation stack:\n• Sensor integration\n• State estimation & SLAM\n• Global planning & local control\n• Build end-to-end systems:\n• Drivers calibration fusion navigation control\n• Ensure performance, safety, and reliability in real environments\n• Deploy and iterate on robots in the field (not just simulation)\n• Make architecture decisions and operate with high autonomy\n\nTech Stack\n• C++\n• Python\n• ROS 2\n• SLAM\n• Sensor Fusion\n• State Estimation\n• Navigation\n• Control Systems\n\nWhat We're Looking For\n• Master's + 3+ years experience OR PhD (Robotics / Controls / Perception)\n• Proven experience building end-to-end robotics systems\n• Deep understanding of:\n• SLAM\n• State estimation\n• Planning & control\n• Systems integration\n• Hands-on field deployment experience (non-negotiable)\n• Strong ownership mindset + clear communication\n\nBonus:\n• Nav2, GTSAM, Ceres\n• Multi-sensor fusion (LiDAR / vSLAM)\n• Embedded systems / hardware integration\n• AI/ML in robotics (perception, embodied AI)\n\nCompensation & Benefits\n• CHF 100,000 – CHF 120,000 base\n• Meaningful equity (early-stage upside)\n• Work with a highly technical, low-ego team\n• Access to best-in-class hardware & tooling\n\nLocation & Eligibility\n\nOn-site: Zurich (non-negotiable)\n• Open to international candidates\n• Work permit & relocation support available\n• English is sufficient (no German required)\n\nWho Should NOT Apply\n• Only simulation or lab experience\n• No full-stack autonomy exposure\n• Limited ownership / module-only experience\n• Preference for remote work\n\nIdeal Candidate Profile\n• Has shipped navigation/localization systems in real environments\n• Thinks in systems, safety, and reliability — not just algorithms\n• Comfortable working close to hardware and field constraints\n• Thrives in high-ownership, ambiguity-driven environments\n\nWhy This Role\n• Build real-world robotics systems (not lab prototypes)\n• Own a critical part of the autonomy stack (SLAM planning control)\n• Work with a top-tier team (ex-Cambridge, UCL, Imperial, TUM, Helsing)\n• Join at pre-seed stage maximum ownership + equity upside\n• Contribute to systems impacting security, defense, and infrastructure resilience\n\nIf 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...",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773878400,
  "job_posted_at_datetime_utc": "2026-03-19T00:00:00.000Z"
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