GNC Algorithm Engineer

JR United Kingdom; Bath; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading Guidance, Navigation & Control group is hiring for multiple technical roles focused on algorithm development in navigation and robotics. Candidates with experience in machine learning, autonomous systems, and relevant academic qualifications are encouraged to apply. The team drives innovation across multiple domains, tackling real-time implementation challenges and collaborating to solve complex multidisciplinary problems.

Qualifications

• Strong mathematical background with a degree or equivalent experience.
• Recent PhD graduates encouraged to apply.
• Proven algorithm development and problem-solving skills required.

Responsibilities

• Develop advanced algorithms for navigation, control, and autonomy.
• Work across diverse domains including AI, robotics, and sensor fusion.
• Support full lifecycle of airborne systems from research to upgrades.

Skills

Algorithm Engineering

Machine Learning

Autonomous Systems

Robotics

Navigation Systems

Software Development

Validation & Verification

Systems Thinking

Education

Degree in Aerospace, Control, Mechanical, Physics, or Computer Science

PhD in a relevant field

Tools

MATLAB/Simulink

Python

C/C++

TensorFlow

PyTorch

Job description

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We’re hiring for multiple positions within a leading Guidance, Navigation & Control (GNC) group that plays a vital role in developing advanced algorithms for navigation, control, and autonomy. This team supports the full lifecycle of complex airborne systems, from early research and feasibility studies to product development and in-service upgrades.

With a strong focus on technical excellence, innovation, and collaboration, the GNC group works across a broad range of domains including AI/ML, sensor fusion, robotics, and real-time implementation.

We’re keen to hear from you if you have experience in any of the following areas:

• Algorithm Engineering – including guidance, control, navigation, and tracking algorithms.
• Machine Learning & Artificial Intelligence – particularly those with an engineering or applied research background
• Autonomous Systems & Robotics – trajectory planning, decision-making, multi-agent coordination.
• Navigation Systems – inertial navigation, image-based navigation, GPS-aided solutions.
• Software & Simulation Tools – MATLAB/Simulink, Python, C/C++, TensorFlow, PyTorch, Model-Based Design.
• Validation & Verification – real-time implementation, algorithm testing, and embedded systems integration.
• Systems Thinking – modelling, systems architecture, and solving complex, multidisciplinary problems.

You should have:

• A degree (or equivalent experience) in a subject with strong mathematical content (e.g., Aerospace, Control, Mechanical, Physics, Computer Science).
• We also welcome recent PhD graduates with relevant research experience.
• Strong algorithm development and problem-solving skills.
• Good communication skills and a collaborative mindset.