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Robotics engineer (navigation), autonomy systems | zurich

Karlsruhe
C&D Talent Advisory
Ingenieur
Inserat online seit: 24 März
Beschreibung

* 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:

o Sensor integration

o State estimation & SLAM

o Global planning & local control

* Build end-to-end systems:

o 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:

o SLAM

o State estimation

o Planning & control

o 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...

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