Senior GNSS Algorithm Engineer

GMV; Tres Cantos; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

Teleworking outside area

Flexible start times

Language learning support

Relocation package

Competitive compensation

Wellbeing program

Job summary

GMV is seeking a senior navigation engineer to join its defence team in Spain, researching, developing and validating advanced navigation algorithms for integrated GNSS/IMU systems. You will implement algorithms in a shared C/C++ library and collaborate with systems engineers and platform teams across demanding environments.

The role emphasizes hands-on development, rigorous testing with real sensors and field campaigns, and close ties to architectural evolution of navigation systems.

Qualifications

• Advanced knowledge of GNSS, inertial navigation and sensor fusion.
• Strong expertise in Kalman filtering and state estimation.
• Proven experience developing and validating algorithms with real sensors and operational datasets.
• Strong programming skills and the ability to develop efficient, robust solutions for operational systems.

Responsibilities

• Designing and developing navigation algorithms based on Kalman filtering, sensor fusion and state estimation for aerial, maritime and land-based platforms.
• Investigating and mitigating navigation error sources and performance degradation, including sensor bias, drift, signal outages, multipath, jamming, spoofing and degraded observability.
• Implementing and integrating algorithms into a shared C/C++ navigation library used across multiple Defence projects, ensuring efficient and robust performance.
• Validating performance through simulators, real-world data, platform integration tests and field campaigns, analysing results and refining algorithm parameters.
• Collaborating with systems engineers, software developers and platform integration specialists, contributing to architectural decisions and the evolution of current and next-generation navigation systems.

Skills

GNSS

Inertial navigation

Sensor fusion

Kalman filtering

Programming

Education

PhD in Aerospace Engineering / Navigation or related field

Tools

C/C++ navigation library

Job description

Are you passionate about solving complex technological challenges and developing solutions that perform under real-world conditions? At GMV, we are expanding Defence teams to develop advanced navigation algorithms that are essential to ensuring the accuracy and reliability of aerial, maritime and land-based systems.

You will join a highly specialised technical team, with the opportunity to contribute your expertise and influence the evolution of navigation technologies used in strategically important projects.

We’ll get to the point; we'll tell you what's not on the web.

WHAT CHALLENGE WILL YOU BE TAKING ON?

You will research, develop and implement advanced navigation algorithms for integrated GNSS/IMU systems, combining scientific rigour with practical engineering to improve navigation accuracy and robustness in demanding operational environments.

Your main responsibilities will include:

• Designing and developing navigation algorithms based on Kalman filtering, sensor fusion and state estimation for aerial, maritime and land-based platforms.
• Investigating and mitigating navigation error sources and performance degradation, including sensor bias, drift, signal outages, multipath, jamming, spoofing and degraded observability.
• Implementing and integrating algorithms into a shared C/C++ navigation library used across multiple Defence projects, ensuring efficient and robust performance.
• Validating performance through simulators, real-world data, platform integration tests and field campaigns, analysing results and refining algorithm parameters.
• Collaborating with systems engineers, software developers and platform integration specialists, contributing to architectural decisions and the evolution of current and next-generation navigation systems.

WHAT DO WE NEED IN OUR TEAM?

For this position, we are looking for professionals with a PhD in Aerospace Engineering, Navigation or a related field, or a strong technical track record in navigation algorithm development, combining a strong scientific background with hands-on experience in navigation algorithm development.

You should bring:

• Advanced knowledge of GNSS, inertial navigation and sensor fusion.
• Strong expertise in Kalman filtering and other state estimation methods.
• Demonstrated experience developing and validating algorithms using real sensors and operational datasets, taking real-world constraints into account.
• Strong programming skills and the ability to develop efficient, robust solutions suitable for operational systems.

We will also value a mindset that combines scientific rigour, engineering practicality and product ownership, with an interest in turning complex algorithms into reliable operational capabilities.

WHAT DO WE OFFER?

• Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.
• Flexible start and finish times, and intensive working hours Fridays and in summer.
• Personalized career plan development, training and language learning support.
• National and international mobility. Do you come from another country? We can offer you a relocation package.
• Competitive compensation with ongoing reviews, flexible compensation and discount on brands.
• Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, 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 [e-mail]

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 Anna Alejo Guilarte, in charge of this vacancy.

Anna Alejo Guilarte