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- Tasks: Design and develop advanced navigation solutions for unmanned aircraft in challenging environments.
- Company: Join a pioneering UK-based communications engineering team in aerospace.
- Benefits: Flexible salary, private medical insurance, and performance-related bonuses.
- Why this job: Shape the future of aerospace and work on cutting-edge unmanned platforms.
- Qualifications: Experience in navigation engineering and algorithm development is essential.
- Other info: Dynamic hybrid work environment with opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
Location - Bristol / Southwest (Hybrid)
Salary - Flexible DOE
We are building a new UK-based communications engineering team to support advanced unmanned and autonomous platforms operating in complex defence environments. This role focuses on developing robust, resilient navigation solutions for aircraft operating where satellite navigation is unavailable or unreliable. You’ll work on algorithm-heavy, systems-level navigation engineering, fusing multiple sensor inputs to deliver accurate positioning, situational awareness, and route planning in contested environments. This is an opportunity to work on new-to-market aerospace platforms in a fast-growing, mission-led environment.
What you’ll do:
- You will design, develop, and integrate advanced navigation solutions for unmanned aircraft, working closely with systems, control, and autonomy teams.
- Develop navigation solutions for GNSS-denied / no-GPS environments.
- Design and implement navigation and sensor fusion approaches.
- Fuse data from multiple sensors (e.g. visual, inertial, alternative sources).
- Develop model-based navigation algorithms.
- Support route planning into and out of contested environments.
- Improve situational awareness through robust navigation strategies.
- Work with senior engineers to define and integrate alternative navigation inputs.
What you’ll bring:
- Background in navigation, guidance, or autonomy engineering.
- Experience developing navigation or sensor fusion algorithms.
- Understanding of IMU-based navigation, drift, and error handling.
- Experience with visual or alternative navigation techniques.
- Strong algorithm-focused, systems-level engineering mindset.
- Experience with UAS / UAV or autonomous platforms desirable.
What’s on Offer:
- A chance to shape an entirely new engineering capability and influence the future of aerospace design.
- Competitive salary, based on experience.
- Up to 10% matched pension contribution.
- Private medical insurance.
- Performance-related bonus.
Navigation Engineers (All Levels) – (UAS / UAV / Aerospace) in Bristol employer: Future Talent Group
Contact Detail:
Future Talent Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Navigation Engineers (All Levels) – (UAS / UAV / Aerospace) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace and UAS/UAV sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your navigation algorithms or sensor fusion projects. This is your chance to demonstrate your expertise in a tangible way. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for those interviews! Research common questions related to navigation engineering and brush up on your algorithm knowledge. We recommend practising with a friend or using mock interview platforms to get comfortable discussing your experience and ideas.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to shape the future of aerospace design. Don’t miss out!
We think you need these skills to ace Navigation Engineers (All Levels) – (UAS / UAV / Aerospace) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in navigation, guidance, or autonomy engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing navigation solutions for unmanned aircraft. Let us know what excites you about working in complex defence environments.
Showcase Your Technical Skills: We’re looking for candidates with strong algorithm-focused, systems-level engineering mindsets. Be sure to mention any experience you have with sensor fusion algorithms or IMU-based navigation techniques in your application.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Future Talent Group
✨Know Your Algorithms
Brush up on your knowledge of navigation algorithms and sensor fusion techniques. Be ready to discuss specific examples from your past work where you developed or implemented these solutions, especially in GNSS-denied environments.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing navigation solutions for unmanned aircraft in contested environments, and be ready to explain your thought process clearly.
✨Familiarise Yourself with the Company’s Vision
Research the company’s projects and their focus on advanced unmanned platforms. Understanding their mission will help you align your answers with their goals and demonstrate your enthusiasm for contributing to their innovative work.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team. Inquire about the challenges they face in navigation engineering or how they integrate alternative navigation inputs, which can also give you a better understanding of what to expect.
