At a Glance
- Tasks: Lead the design and optimisation of navigation systems for autonomous vehicles.
- Company: Innovative SME focused on real-world autonomous systems.
- Benefits: Competitive salary, opportunity for growth, and influence in a dynamic team.
- Other info: Join a growing team with clear paths for mentorship and leadership.
- Why this job: Shape the future of autonomy and make a real impact in live deployments.
- Qualifications: MSc/PhD in relevant field and 4-5+ years in autonomous systems.
The predicted salary is between 57600 - 84000 € per year.
An advanced SME developing real-world autonomous systems is looking to hire a Senior Navigation Control Engineer as a key early addition to its edge autonomy team. This is a high-ownership role where the successful candidate will take responsibility for the navigation control stack, help shape the technical roadmap, and play a key role in scaling the system for live fleet deployment as the company grows.
The role focuses on maintaining and evolving an existing navigation codebase, making it robust, secure, and production-ready for articulated vehicles operating in complex industrial environments such as seaports. Working closely with perception, localisation, and systems engineers, the engineer will ensure safe, efficient, and reliable autonomous navigation from planning through control.
What you'll do
- Own the design, development, and optimisation of the navigation layer, including path planning, behaviour planning, motion/trajectory planning, and vehicle control.
- Collaborate closely with perception and localisation teams to enable safe, informed decision-making.
- Establish KPIs and testing frameworks for navigation performance in SIL and HIL environments.
- Ensure compliance with safety and performance standards such as SOTIF.
- Translate advances in navigation, motion planning, and control research into deployable production solutions.
- Contribute to engineering standards and best practices as the autonomy team scales.
Experience required
- MSc or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.
- 4-5+ years' experience working on autonomous vehicles or robotic systems.
- Strong expertise in path planning, behaviour planning, motion/trajectory planning, and control systems.
- Excellent C++ and Python skills with good knowledge of ROS2.
- Strong understanding of vehicle kinematics, dynamics, and control theory.
- Hands-on experience testing navigation algorithms on real robots or autonomous vehicles.
Why join
This role offers the opportunity to own a critical autonomy capability within a growing SME, influence technical direction, work on live industrial deployments, and step into a position with clear scope to expand responsibility and mentor others as the navigation function grows.
Senior Navigation Control Engineer in Derby employer: Talent Locker
Join a pioneering SME at the forefront of autonomous systems development, where you will have the opportunity to take ownership of critical navigation capabilities and influence the technical roadmap. With a collaborative work culture that values innovation and employee growth, this London-based role offers competitive compensation and the chance to mentor others as the team expands, making it an ideal environment for those seeking meaningful and rewarding employment in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Navigation Control Engineer in Derby
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your expertise in navigation control systems. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your previous roles, having tangible examples of your work can really set you apart. We love seeing how candidates have applied their skills in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to make an impact in the world of autonomous systems.
We think you need these skills to ace Senior Navigation Control Engineer in Derby
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Navigation Control Engineer role. Highlight your experience with autonomous vehicles, path planning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with C++ and Python, as well as any hands-on work with navigation algorithms.
Showcase Your Projects:If you've worked on any cool projects related to navigation control or autonomous systems, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Talent Locker
✨Know Your Stuff
Make sure you brush up on your knowledge of navigation control systems, especially path planning and motion/trajectory planning. Be ready to discuss your previous projects and how they relate to the role, as this will show your expertise and passion for the field.
✨Showcase Your Collaboration Skills
Since this role involves working closely with perception and localisation teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where teamwork led to improved outcomes in your projects.
✨Prepare for Technical Questions
Expect some technical questions related to C++, Python, and ROS2. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms or control theory concepts can give you a leg up during the interview.
✨Demonstrate Your Vision
This is a leadership opportunity, so think about how you can contribute to shaping the technical roadmap. Be ready to discuss your ideas on evolving navigation systems and how you would ensure compliance with safety and performance standards in real-world applications.
