Research Engineer

Overview

Data Privacy

u-blox respects your privacy and is committed to protecting your personal information that you share with us. Your information will not be disclosed to any unauthorized third party, i.e. u-blox will only disclose your information to those contractors or employees of u-blox AG or any of its affiliated companies (parent company, subsidiaries) who have a reasonable need to know your information in order to hire new staff or to keep a reasonably confined database for future hiring purposes.

Please ensure that your application does not contain any sensitive personal information (religious beliefs / sexual orientation / health information / race / trade-union membership).If you wish to have your personal information removed please click the following linkcontact us .

Return to u-blox site

About u-blox u-blox (SIX : UBXN) is a global technology leader in positioning and wireless communication in automotive, industrial, and consumer markets. Their smart and reliable solutions, services and products let people, vehicles, and machines determine their precise position and communicate wirelessly over cellular and short range networks. With a broad portfolio of chips, modules, and secure data services and connectivity, u blox is uniquely positioned to empower its customers to develop innovative and reliable solutions for the Internet of Things, quickly and cost effectively. With headquarters in Thalwil, Switzerland, the company is globally present with offices in Europe, Asia, and the USA. ( )

Job Description

u-blox is the leading provider of Global Satellite Navigation System (GNSS) solutions. To strengthen our HPA Technology Team, we are seeking a Research Engineer with strong mathematical and AI / ML expertise to work on next-generation solutions for GNSS, navigation, perception, and control systems. You’ll work alongside world-class experts, contributing to cutting-edge algorithms, robust positioning engines, and AI-enhanced sensing and control solutions for wearables, IoT, robotics, and automotive applications.

This position can be located in Reigate, UK or Tampere, FI.

Responsibilities

• Design, develop, and validate advanced algorithms for GNSS and multi-sensor navigation, including sensor fusion with IMUs, cameras, and LEO-PNT signals.
• Apply AI / ML methods (e.g., deep learning, factor graph optimization, probabilistic inference, reinforcement learning) to tackle challenges in positioning, perception, and control systems.
• Explore and prototype robust and resilient navigation solutions against multipath, interference, and spoofing in complex environments.
• Contribute to perception-driven navigation : integrate visual, inertial, and GNSS cues into unified frameworks for enhanced accuracy and integrity.
• Collaborate on control system design where reliable location / perception data directly influences path planning, decision-making, and actuation.
• Conduct mathematical modelling, statistical analysis, and performance evaluation of algorithms under real-world scenarios.
• Implement algorithms in Python / C++ / Matlab for deployment in embedded, edge, and cloud platforms.
• Work closely with cross-functional teams (hardware, embedded software, AI research, and application domains) to bring concepts to high-TRL prototypes and products.

Your Skills and Experience

What are your perks?

Learn more

Learn more about u-blox and its mission by watching this video! Learn more about your future working environment within our Positioning Product Center here!

We see diversity as a strength and promote a culture of inclusion among our employees. Our varied backgrounds, ideas and experiences are critical to our success. We strive to become a strong learning organization and are committed to provide our employees with equal opportunities regardless of differences such as gender, race, ethnicity, generations, belief.

Applications

Applications Close Date

Contact

Contact Are you interested in this challenging position within an international work environment in a successful company? Apply now! You will be working with a motivated team in an exciting technology.

#J-18808-Ljbffr