At a Glance
- Tasks: Design and develop AI models to revolutionise satellite navigation technology.
- Company: Join a pioneering team at the forefront of GNSS innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in space engineering with cutting-edge AI applications.
- Qualifications: Degree in relevant field and strong experience in machine learning techniques.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking an AI/ML Engineer with a strong interest in GNSS and space applications to join our team and help drive innovation in satellite navigation technology. In this role, you will apply machine learning and artificial intelligence techniques to solve complex challenges in GNSS signal processing, positioning accuracy, and system optimization. Success in this position means bringing modern data-driven approaches to a traditionally deterministic engineering field, helping to build smarter, more adaptive, and more resilient navigation systems. This role sits at the intersection of applied AI and space engineering, contributing directly to the organization's next generation of GNSS technologies.
Responsibilities
- Design, develop, and train machine learning models to improve GNSS signal accuracy, interference detection, and error correction.
- Apply AI/ML techniques (e.g., deep learning, anomaly detection, sensor fusion) to enhance positioning, navigation, and timing (PNT) performance.
- Analyze large-scale GNSS datasets to identify patterns and extract features for model development.
- Collaborate with GNSS engineers, software teams, and space systems specialists to integrate AI models into navigation pipelines.
- Prototype and validate novel AI-driven approaches to GNSS challenges such as multipath mitigation, jamming/spoofing detection, and signal robustness.
- Contribute to technical documentation, research publications, and patent filings related to AI-enabled GNSS innovations.
- Stay current with advancements in AI/ML methods and their emerging applications within the space and satellite navigation sector.
Qualifications
- Degree in Computer Science, Data Science, Electrical Engineering, Aerospace Engineering, or a related field (advanced degree preferred).
- Strong hands-on experience with machine learning and deep learning techniques, including model development, training, and evaluation.
- Proficiency in relevant programming languages and frameworks (e.g., Python, TensorFlow, PyTorch, scikit-learn).
- Familiarity with GNSS systems, signal processing, or satellite navigation concepts.
- Strong analytical and problem-solving skills, with a genuine curiosity about applying AI to real-world engineering problems.
- Excellent verbal and written communication skills.
Artificial Intelligence Senior Engineer with GNSS knowledge in Cambridge employer: LinfinityGNSS
Join a pioneering team at the forefront of satellite navigation technology, where your expertise in AI and GNSS will drive innovation and shape the future of navigation systems. Our collaborative work culture fosters creativity and continuous learning, offering ample opportunities for professional growth and development in a rapidly evolving field. Located in a vibrant area with access to cutting-edge resources, we provide a unique environment that encourages you to push boundaries and make a meaningful impact on global navigation solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Senior Engineer with GNSS knowledge in Cambridge
✨Join Aerospace Forums and Groups
Get involved in aerospace engineering forums and online communities, like the AIAA (American Institute of Aeronautics and Astronautics). It's a great way to meet industry peers and stay updated on job openings and trends in the field.
✨Attend Industry Conferences
Keep an eye on upcoming aerospace conferences and events where you can network with professionals and showcase your interest. Events like the Farnborough International Airshow are not just about flying machines; they're a goldmine for connections and potential job leads.
✨Spotlight Your Projects
Make sure to highlight any hands-on experience or projects on your portfolio that showcase your skills in aerospace engineering. Employers love seeing practical applications of theoretical knowledge. Show us what you've got!
✨Apply Directly on Company Websites
When you find companies you want to work for, head straight to their careers page to apply for full-time roles, like the one with LinfinityGNSS for a Artificial Intelligence Senior Engineer with GNSS knowledge. This often puts your application in front of the right people faster than just waiting for job boards!
We think you need these skills to ace Artificial Intelligence Senior Engineer with GNSS knowledge in Cambridge
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for the aerospace engineering role at LinfinityGNSS, make sure to highlight your technical expertise. Include specific software skills, like CAD tools or simulation software, and any relevant engineering projects you’ve worked on. This is your chance to really shine and showcase your engineering toolkit!
Don't Skip Your Projects!:Include a section in your CV dedicated to projects that demonstrate your problem-solving abilities in aerospace engineering. Whether it's a university project, an internship, or personal work, we love seeing how you’ve applied your skills in real-world scenarios. Make it clear what your role was and the impact of the project.
Show Your Passion in Your Cover Letter:At LinfinityGNSS, we're not just looking for skills – we want to know why you’re passionate about aerospace engineering. Use your cover letter to express what excites you about aviation technology and your career goals. Share any relevant experiences or inspirations that have led you to apply for this full-time position.
Tailor Your CV for Aerospace:Make sure your CV is specifically tailored to aerospace engineering. Focus on your education, any certifications, and your work experience, ensuring you highlight aspects that relate directly to the role. Don’t forget to mention any internships or apprenticeships that have given you hands-on experience.
How to prepare for a job interview at LinfinityGNSS
✨Brush Up on Your Technical Knowledge
Aerospace engineering is all about technical precision, so make sure you’re comfortable with key concepts like aerodynamics, propulsion, and materials science. We recommend going through any relevant coursework or projects you’ve worked on – these real-world examples can illustrate your understanding during the interview with LinfinityGNSS.
✨Showcase Your Projects with Confidence
Make sure to have a portfolio ready that details any significant projects you've worked on, whether it’s a group assignment or a personal endeavour. Be prepared to discuss the challenges you faced, the tools you used, like CAD software, and what you learned from the experience, as this will show your problem-solving skills in action.
✨Prepare for Technical Interviews
Expect some technical questions or even problem-solving exercises during your interview with LinfinityGNSS. Get familiar with design challenges or theoretical problems related to aerospace; this can range from calculating lift and drag forces to materials selection under stress. Practising these can help you feel more at ease when faced with tricky questions.
✨Emphasise Your Passion and Teamwork Skills
As a full-time candidate, it’s crucial to convey your passion for aerospace engineering and your ability to work in teams. Highlight any group projects or internships you've done, focusing on how you collaborated with others to achieve a goal. Companies like LinfinityGNSS love seeing candidates who not only have technical skills but also fit well within their team culture.
