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- Tasks: Develop cutting-edge navigation solutions for autonomous platforms like driverless cars and drones.
- Company: GMV is a tech group focused on innovative positioning solutions in Nottingham.
- Benefits: Enjoy hybrid working, competitive salary, training support, and wellbeing programs.
- Why this job: Be part of a dynamic team shaping the future of navigation technology with real-world impact.
- Qualifications: 3+ years in geo-location systems, programming skills in C/C++, MATLAB, Python, and algorithm design.
- Other info: We value diversity and promote equal opportunities; direct contact with our talent team is guaranteed.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Navigation Algorithms Engineer role at GMV
GMV is an experienced technology group seeking a talented Intermediate Navigation Algorithms Engineer to join our Algorithms and Positioning Services team in Nottingham. Contribute to developing cutting-edge positioning solutions for autonomous platforms such as driverless cars and drones. Work on high-accuracy satellite navigation systems, improving performance through mathematical algorithms and sensor integration, including vision-based, inertial, and quantum devices.
What challenges will you take on?
Develop state-of-the-art solutions leveraging novel technologies for high-performance, high-accuracy positioning. Be involved in all software development stages, from requirements to validation, ensuring impactful end-to-end delivery. Engage in system performance evaluation and exploratory work on emerging positioning and navigation technologies.
What do we need in our team?
We seek experts with over 3 years of experience in:
- Geo-location positioning or navigation systems (e.g., GNSS)
- Mathematical techniques such as Weighted Least Squares and Kalman filtering
- Precise Point Positioning (PPP), Real-Time Kinematic (RTK) algorithms
- Programming in C/C++, MATLAB, Python
- Algorithm design and documentation
Valuable additional knowledge includes:
- Quantum sensors and technology
- Artificial Intelligence algorithms
- Non-GNSS sensors for navigation
- Experience with CI/CD pipelines and Agile methodologies
What do we offer?
- Hybrid working model with 8 weeks of teleworking outside your usual geographical area
- Personalized career development, training, and language learning support
- Competitive salary with ongoing reviews and discounts on brands
- Wellbeing programs including health and life insurance, free fruit and coffee, and more
Our recruitment process involves direct contact with our talent acquisition team. We do not request bank transfers or bank cards; if contacted otherwise, please email privacy@gmv.com. We promote equal opportunities, inclusion, and diversity.
What are you waiting for? Join us!
For questions, contact Nina Miller.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Engineering
Industries: Software Development, Computer and Network Security, IT Services and Consulting
Referrals increase your chances of interviewing at GMV by 2x.
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Navigation Algorithms Engineer employer: GMV
Contact Detail:
GMV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Navigation Algorithms Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in navigation algorithms and technologies. Being well-versed in topics like GNSS, Kalman filtering, and AI algorithms will not only boost your confidence but also impress the hiring team during discussions.
✨Tip Number 2
Engage with online communities or forums related to navigation systems and algorithms. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your previous projects that involved algorithm design and sensor integration. Be ready to explain your thought process and the impact of your work, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Research GMV's current projects and technologies they are working on. Tailoring your conversation to align with their goals and challenges will show your genuine interest in the role and help you stand out as a candidate.
We think you need these skills to ace Navigation Algorithms Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Navigation Algorithms Engineer position. Familiarise yourself with key concepts like GNSS, Kalman filtering, and algorithm design.
Tailor Your CV: Customise your CV to highlight relevant experience in geo-location positioning, programming languages (C/C++, MATLAB, Python), and any work with AI algorithms or quantum sensors. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for navigation technologies and your problem-solving skills. Mention how your background aligns with GMV's goals and how you can contribute to their innovative projects.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at GMV
✨Showcase Your Technical Skills
Make sure to highlight your experience with geo-location positioning systems and mathematical techniques like Weighted Least Squares and Kalman filtering. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your expertise.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to tackle hypothetical scenarios related to navigation algorithms. This will allow you to showcase your analytical thinking and how you approach complex problems, which is crucial for the role.
✨Familiarise Yourself with Emerging Technologies
Research the latest advancements in quantum sensors and AI algorithms. Being knowledgeable about these topics will not only impress your interviewers but also show your commitment to staying updated in the field.
✨Prepare Questions About the Role
Have a list of insightful questions ready to ask your interviewers. Inquire about the team dynamics, ongoing projects, and the company's vision for future technologies. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
