Senior Navigation Control Engineer

Talent Locker; Slough; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading technology firm based in London is looking for a Senior Navigation Control Engineer to join their edge autonomy team. This pivotal role involves owning the navigation control stack, collaborating closely with engineering teams, and ensuring robust and secure navigation systems for autonomous vehicles. The ideal candidate will have substantial experience in autonomous systems, proficient in C++ and Python, and possess a strong academic background in engineering disciplines. Join to make a significant impact in a growing SME.

Qualifications

• 4-5+ years’ experience working on autonomous vehicles or robotic systems.
• Strong expertise in path planning, behaviour planning, motion/trajectory planning, and control systems.
• Hands-on experience testing navigation algorithms on real robots or autonomous vehicles.

Responsibilities

• Own the design, development, and optimisation of the navigation layer.
• Collaborate closely with perception and localisation teams.
• Establish KPIs and testing frameworks for navigation performance.
• Ensure compliance with safety and performance standards.
• Translate advances in navigation into deployable production solutions.
• Contribute to engineering standards and best practices.

Skills

C++

Python

ROS2

Path planning

Behaviour planning

Motion/trajectory planning

Control systems

Education

MSc or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering

Job description

Job Description

Senior Navigation Control Engineer - (Future Leader Opportunity)

Circa £80k+, London based
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++, 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.