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- Tasks: Own the navigation stack and deploy real-world robotics systems in critical environments.
- Company: Join a cutting-edge robotics startup focused on autonomy and security.
- Benefits: Competitive salary, meaningful equity, and access to top-tier hardware.
- Why this job: Make a real impact by building autonomous systems that enhance security and infrastructure.
- Qualifications: Master’s degree or PhD with hands-on robotics experience and strong ownership mindset.
- Other info: Work in Zurich with a highly technical team and excellent career growth opportunities.
The predicted salary is between 80000 - 120000 £ per year.
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…
Robotics Engineer (Navigation), Autonomy Systems | Zurich employer: C&D Talent Advisory - Academy
Contact Detail:
C&D Talent Advisory - Academy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Engineer (Navigation), Autonomy Systems | Zurich
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, especially those who work in autonomy systems. Attend meetups or online webinars to connect with industry experts and potential colleagues.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving SLAM and sensor integration. This will give you an edge when discussing your hands-on experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Python skills. Be ready to solve real-world problems related to navigation and control systems, as this is what they'll be looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Robotics Engineer (Navigation), Autonomy Systems | Zurich
Some tips for your application 🫡
Show Your Passion for Robotics: When writing your application, let us see your enthusiasm for robotics and autonomy. Share specific projects or experiences that highlight your hands-on field deployment skills and how you've tackled real-world challenges.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the job description. Highlight your experience with SLAM, sensor integration, and any relevant tech stacks like C++ or Python. We want to see how your background aligns with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at C&D Talent Advisory - Academy
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in C++, Python, and ROS 2. Brush up on your knowledge of SLAM, sensor fusion, and control systems. Be ready to discuss how you've applied these technologies in real-world scenarios, as this role demands hands-on experience.
✨Showcase Your Field Deployment Experience
Prepare specific examples of your past field deployment experiences. Talk about the challenges you faced and how you overcame them. This is crucial since the company is looking for someone who has actually shipped navigation systems in real environments, not just in simulations.
✨Demonstrate Ownership and Communication Skills
Highlight instances where you took ownership of a project or task. Clear communication is key in high-autonomy environments, so be prepared to explain complex concepts simply and effectively. This will show that you can thrive in their high-trust, high-ownership culture.
✨Think Systems, Safety, and Reliability
During the interview, emphasise your understanding of systems thinking and the importance of safety and reliability in robotics. Prepare to discuss how you ensure performance and safety in your projects, as this aligns with the company's focus on critical infrastructure.