Robotics Engineer (Navigation), Autonomy Systems | Zurich

Robotics | Autonomy | Critical Infrastructure

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