Autonomy Robotics Engineer

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AI Summary

Join a high-caliber, early-stage robotics startup building autonomous systems for real-world security and critical infrastructure environments. Own the navigation and autonomy stack end-to-end. Build end-to-end systems for robotics.

Key Highlights
Autonomy Robotics Engineer
Navigation and Autonomy Stack
End-to-End Systems for Robotics
Key Responsibilities
Own navigation stack
Build end-to-end systems
Deploy and iterate on robots in the field
Technical Skills Required
C++ Python ROS 2 SLAM Sensor Fusion State Estimation Navigation Control Systems
Benefits & Perks
CHF 100,000 โ€“ CHF 120,000 base
Meaningful equity (early-stage upside)
Work with a highly technical, low-ego team
Nice to Have
Nav2
GTSAM
Ceres
Multi-sensor fusion (LiDAR / vSLAM)
Embedded systems / hardware integration
AI/ML in robotics (perception, embodied AI)

Job Description


  • On-site | Zurich
  • CHF 100,000 โ€“ 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 โ€” from sensor integration to control โ€” 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 โ€“ 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 โ€” 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 โ€” and want to push autonomy beyond the lab into environments where reliability truly matters โ€” this is where you do it. Apply now...

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