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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.
Are you looking for an innovative and consolidated place for your professional development? GMV is an experienced technology group and we develop state‐of‐the-art solutions and algorithms that leverage novel technologies to deliver high-performance, high‐accuracy positioning solutions.
Our work is driven by a strong team-oriented culture.
We are seeking a talented engineer to join our UK-based team and contribute to the development of cutting‐edge positioning solutions. This role offers the opportunity to work on advanced navigation technologies for autonomous platforms, such as driverless cars and drones.
We\’ll get to the point; we\’ll tell you what\’s not on the web. If you want to know more about us go to GMV website.
What challenge will you be taking on?
You will be working on the highest accuracy satellite navigation systems, providing performance improvements through mathematical algorithm developments and integration with other sensors, such as vision‐based, inertial and quantum‐based devices.
The role involves the development of advanced navigation solutions with a focus on high‐accuracy, hybridization and sensor fusion. It includes the full software development lifecycle, from requirements specification and system design to implementation and validation.
The position also entails performance evaluation of the developed systems, as well as exploratory work on emerging technologies and innovative applications in the field of positioning and navigation.
What do we need in our team?
We are looking for candidates with background and experience in:
Geo-location positioning or navigation systems (e.g. GNSS)
Mathematical techniques used in navigation systems, including (but not limited to) weighted least squares estimation and Kalman filtering
Precise point positioning (PPP), real‐time kinematic (RTK) algorithms
Algorithm design and documentation
We will also value previous experience and knowledge in:
Quantum‐based technology and sensors
Artificial intelligence algorithms
Non‐GNSS sensors for navigation
Mathematical background with experience in CI/CD pipelines and Agile methodologies
C++ / Python
What do we offer?
Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area .
Personalized career plan development, training and language learning support.
Competitive compensation with ongoing reviews , flexible compensation, pension and discount on brands.
Wellbeing program : health, dental, glasses support and free fruit and coffee and much more!
In our recruitment processes you will always have telephone and personal contact, face‐to‐face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at privacy@gmv.com.
We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.
What are you waiting for? Join us
If you have any questions please do not hesitate to contact Nina Miller , in charge of this vacancy.
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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.
