Robotics Engineer (Navigation), Autonomy Systems | Zurich

• 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...