Artificial Intelligence Senior Engineer with GNSS knowledge

LinfinityGNSS; Cambridge; On-site; GBP 65,000 - 100,000; Full time

Job summary

LinfinityGNSS in Cambridge, United Kingdom, seeks an AI/ML Engineer with interest in GNSS and space applications to advance satellite navigation technology. You will apply ML/AI to solve GNSS signal processing, positioning, and system optimization challenges.

You will collaborate with GNSS engineers and software teams to integrate AI models into navigation pipelines, develop novel AI-driven approaches for multipath mitigation and jamming detection, and contribute to publications and patent

Qualifications

• Experience with ML/DL model development, training and evaluation.
• Familiarity with GNSS, signal processing, or space navigation concepts.
• Strong communication skills and ability to work with cross-functional teams.

Responsibilities

• Design, develop, and train ML models to improve GNSS signal accuracy.
• Apply AI techniques to enhance PNT performance.
• Analyze GNSS datasets to extract features for models.
• Collaborate with GNSS engineers and software teams to integrate AI.
• Prototype AI-driven approaches to GNSS challenges like multipath mitigation.
• Contribute to documentation, publications, and patent filings.
• Stay current with advancements in AI/ML for space applications.

Skills

Machine learning

Deep learning

Model development

Python

Education

Bachelors or higher in CS/DS/EE/Aerospace

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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