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- Tasks: Join our GNC team to develop cutting-edge algorithms for navigation and control systems.
- Company: Be part of a leading group focused on innovation in airborne systems and autonomy.
- Benefits: Enjoy opportunities for remote work, collaboration, and professional growth.
- Why this job: Work on exciting projects in AI, robotics, and real-time systems with a supportive culture.
- Qualifications: Degree in a maths-heavy subject; recent PhD graduates are encouraged to apply.
- Other info: Ideal for those passionate about solving complex problems in a multidisciplinary environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
Contact Detail:
Innovate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GNC Algorithm Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in GNC technologies. Stay updated on trends in AI/ML, sensor fusion, and robotics, as these are crucial for the role. Engaging with online forums or attending relevant webinars can also help you connect with industry professionals.
✨Tip Number 2
Showcase your practical experience with software and simulation tools like MATLAB/Simulink, Python, and TensorFlow. Consider working on personal projects or contributing to open-source initiatives that demonstrate your skills in algorithm development and real-time implementation.
✨Tip Number 3
Network with professionals in the GNC field through LinkedIn or industry-specific events. Building relationships can provide insights into the company culture and potentially lead to referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and algorithm design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Being able to articulate your thought process during these challenges is key to impressing interviewers.
We think you need these skills to ace GNC Algorithm Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in algorithm engineering, machine learning, and any relevant projects. Use specific examples that demonstrate your skills in guidance, navigation, and control.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for GNC technologies. Mention specific projects or experiences that align with the job description, particularly in areas like autonomous systems and robotics.
Highlight Relevant Skills: In your application, emphasise your proficiency in software and simulation tools such as MATLAB/Simulink, Python, and TensorFlow. Be sure to mention any experience with validation and verification processes.
Showcase Your Problem-Solving Abilities: Provide examples of how you've tackled complex problems in previous roles or projects. This could include your approach to algorithm testing or real-time implementation challenges.
How to prepare for a job interview at Innovate
✨Showcase Your Technical Skills
Be prepared to discuss your experience with algorithm engineering, particularly in guidance, control, and navigation. Bring examples of projects where you've applied machine learning or worked with software tools like MATLAB/Simulink or Python.
✨Demonstrate Systems Thinking
Highlight your ability to approach complex problems from a systems perspective. Discuss any experience you have with modelling or systems architecture, as this is crucial for the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and concisely, especially when discussing real-time implementation or algorithm testing.
✨Emphasise Collaboration and Communication
Since the role involves working within a team, be ready to share examples of how you've successfully collaborated on projects. Good communication skills are essential, so demonstrate your ability to convey complex ideas effectively.
