Robotics Engineer

Job Number: 345897

Textron Specialized Vehicles are a global manufacturer of golf cars, utility and personal transportation vehicles, side-by-sides, all-terrain vehicles, professional turf-care equipment, and ground support equipment.

At Ransomes Jacobsen Ltd, we design and manufacture professional turf-care equipment under the brands of Ransomes and Jacobsen. Our mission is to be the premier supplier of high-quality and environmentally conscious turf equipment, providing superior performance for our customers. From prestigious championship golf courses to the World Cup, for more than a century, the most important turf in the world has been manicured by our brand.

We recognise that our success, and future success, is tied directly to our people. We are looking for a Robotics Engineer to join the Company in Ipswich, Suffolk.

As a Robotics Engineer, you will develop and optimise the core autonomy algorithms for Jacobsen vehicles, with a focus on localisation, navigation and motion planning. This role focuses on algorithm development, system performance and real-world behaviour, supporting the transition from prototype systems to field-ready, production-ready autonomous capability.

• Develop and improve localisation algorithms, including sensor fusion (RTK GPS, IMU, LiDAR, camera) and fallback strategies;
• Design and implement navigation and path planning algorithms, including coverage planning and route optimization;
• Develop and optimise motion planning and trajectory generation, improving turn performance, smoothness, and transitions;
• Implement and tune algorithms such as A, Hybrid A, DWA, MPC, or similar;
• Integrate algorithms into the autonomy stack (ROS2 or equivalent);
• Work with Test & Validation teams to analyse field data, debug issues, and improve system performance;
• Support development and validation using simulation and digital twin environments;
• Other duties as required.

• Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Robotics/Mechatronics or similar.

• A minimum of five years’ experience in robotics, autonomy, or control systems, or similar roles.

• Required Skills:

  • Experience with localisation, navigation, and motion planning algorithms;

  • Proficiency in C++ and/or Python;

  • Experience with ROS/ROS2 or similar frameworks;

  • Understanding of sensor fusion techniques;

  • Experien Ce with real-time systems and algorithm optimization;

  • Self-motivating and able to work with low levels of supervision to defined objectives;

  • Excellent attention to detail and problem-solving skills.

• Desirable
  
  Skills:

  • Experience with outdoor or off-road autonomous systems;

  • Knowledge of RTK GPS, IMU integration, and LiDAR-based localisation;

  • Familiarity with coverage planning and path optimisation problems;

  • Experience with simulation tools (e.g. Isaac Sim, Gazebo);

  • Exposure to AI/ML approaches in perception or planning.

• Work life balance promoted with every other Friday off;
• 30 days annual leave;
• Competitive rate of pay, reviewed annually;
• Enhanced Company pension;
• Life assurance of four times your annual salary;
• Comprehensive Employee Assistance Program for you and your immediate family;
• Access to Textron University’s self-service training platform;
• Eye care scheme;
• Discounts on gym memberships, shopping and travel through Perks at Work;
• Onsite golf course and football pitch;
• Winter flu vaccination voucher.

AI Readiness:

Textron expects employees to use AI-enabled tools responsibly and effectively. Candidates should be comfortable learning and applying these tools, evaluating AI-generated output with sound judgment, and using AI in line with company policy and ethical standards. Prior experience with specific tools is not required — we value curiosity, adaptability, and good judgment.

Recruiting Company:
Textron Specialized Vehicles

Primary

Location:

GB-Ipswich

Job Field:
Engineering

Schedule:

Full-time

Job Level: Individual Contributor

Job Type: Experienced

Shift: First Shift

Job Posting: 10/27/2026, 8:53:17 AM