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GNC Developer

Job in Stevenage, Hertfordshire, SG1, England, UK
Listing for: Experis
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Robotics, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 55000 - 90000 GBP Yearly GBP 55000.00 90000.00 YEAR
Job Description & How to Apply Below

GNC Developer

Rate - Negotiable

Stevenage - 3 days on-site

Clearance required:

BPSS

'This role requires additional vetting, which means this could take longer than our normal onboarding process. You will require additional vetting for this position, which means the process can take longer than the usual onboarding process with Capgemini. Please do not hesitate to get in touch if you have any queries.'

Role Overview

We are seeking a skilled GNC (Guidance, Navigation & Control)
* Developer/Algorithm
* Engineer to support the development of autonomous navigation capabilities for rover platforms. The role focuses on designing, validating, and integrating advanced algorithms that enable intelligent, on-board decision-making in challenging environments.

Key Responsibilities Algorithm Development
  • Design and develop advanced GNC algorithms for autonomous rover navigation
  • Implement capabilities to enable real-time, on-board decision-making and autonomy
  • Ensure robustness and reliability of algorithms for operation in complex terrains
Simulation & Prototyping
  • Develop and maintain numerical simulation models to validate algorithm performance
  • Integrate GNC algorithms with rover sensor systems and hardware interfaces
  • Support rapid prototyping activities using Robot Operating System (ROS
    2)
Testing & Validation
  • Validate algorithm performance within custom simulation environments
  • Conduct hands-on testing on full-scale prototype rovers, including:
    Indoor testing in controlled environments, Outdoor field trials in realistic terrain
  • Analyse test results and iterate on algorithm performance
Preferred Skills & Experience (optional to include if needed)
  • Must have a strong background in robotics, control systems, or autonomous systems
  • Must have an experience with ROS / ROS 2
  • Proficiency in simulation tools and algorithm development (e.g., Python, C++, MATLAB)
  • Experience working with sensor integration (e.g., LiDAR, IMU, cameras)
  • Familiarity with field testing and real-world system validation
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