National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Software Engineer

Chilton, Oxfordshire
3 weeks ago
Create job alert

Principal Robotics Software Engineer | AUV’s | ROV’s | Harwell – Hybrid | £70,000pa plus share scheme & benefits:
  
A once in a lifetime opportunity has arisen for a passionate robotics Software Engineer to join a game changing company who has a pipeline of robotic AUV, ROV & UAV products which are going to be brought into existence and to market in the next couple of years.

If you’re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this one is not to be missed.
  
MARS is recruiting an experienced Principal Software Engineer to lead the design, development, and integration of advanced software for next-generation underwater unmanned platforms. This role will play a pivotal part in driving autonomy, perception, and mission-critical software for submersible robotic systems. Candidates must be British Citizens or lived in the UK for 10 years, due to needing SC clearance.
  
Key Responsibilities:

Lead the architecture, design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware.
Oversee integration of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks.
Guide the implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance.
Direct the development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical).
Drive testing and validation efforts, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments.
Collaborate with multidisciplinary teams—including systems, mechanical, and electrical engineers—to ensure cohesive and reliable system integration.
Maintain clear and concise documentation, and manage source control using tools like Git/GitLab.
Contribute to proposal development, system-level design reviews, and strategic planning related to autonomous systems.   
Qualifications:

Bachelor's or Master’s degree in Computer Science, Robotics, or a related field .
8+ years of experience in embedded systems, robotics software, or unmanned systems development.
Strong expertise in C++, Python, and software development for real-time systems.
Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware.
Ability to work in field conditions, including support for field testing and sea deployments.   Preferred Experience:

Experience in maritime, defence, or subsea robotics industries.
Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments.
Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred.
Background in regulatory or classification compliance for unmanned marine vehicles.   If you’re passionate about both robotics, in particular autonomous vehicle and unmanned vehicle industry, and you love software engineering within this space, please  get in touch ASAP.
  
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time
  
MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)

Related Jobs

View all jobs

Principal Software Engineer

Principal Software Developer

Head of Engineering

Principal Machine Learning Engineer London, England, United Kingdom

Principal Machine Learning Engineer

Principal Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.