Robotics Engineer, Autonomy Systems

• On-site Zurich
• CHF 100000 CHF 120000 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.

Youll own the navigation and autonomy stack end-to-end from sensor integration to control in a high-trust high-ownership environment.

What Youll 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 Were Looking For

• Masters 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 100000 CHF 120000 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 youve 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...