Robotics Engineer (Navigation), Autonomy Systems | Zurich
Job Description:
- 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
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Own navigation stack:
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Sensor integration
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State estimation & SLAM
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Global planning & local control
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Build end-to-end systems:
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Drivers calibration fusion navigation control
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Ensure performance, safety, and reliability in real environments
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Deploy and iterate on robots in the field (not just simulation)
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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)
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Proven experience building end-to-end robotics systems
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Deep understanding of:
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SLAM
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State estimation
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Planning & control
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Systems integration
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Hands-on field deployment experience (non-negotiable)
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Strong ownership mindset + clear communication
Bonus:
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Nav2, GTSAM, Ceres
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Multi-sensor fusion (LiDAR / vSLAM)
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Embedded systems / hardware integration
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AI/ML in robotics (perception, embodied AI)
Compensation & Benefits
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CHF 100,000 – CHF 120,000 base
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Meaningful equity (early-stage upside)
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Work with a highly technical, low-ego team
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Access to best-in-class hardware & tooling
Location & Eligibility
On-site: Zurich (non-negotiable)
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Open to international candidates
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Work permit & relocation support available
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English is sufficient (no German required)
Who Should NOT Apply
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Only simulation or lab experience
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No full-stack autonomy exposure
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Limited ownership / module-only experience
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Preference for remote work
Ideal Candidate Profile
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Has shipped navigation/localization systems in real environments
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Thinks in systems, safety, and reliability — not just algorithms
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Comfortable working close to hardware and field constraints
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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...