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Software Engineer GNSS Signal Processing

Published date more than one year ago
Posted: more than one year ago
Company U-Blox
Company: U-Blox
Location Tampere
Location: Tampere

In this role, you will work closely with highly talented and motivated engineers in a multi-national team. If you have real passion for developing clever and computationally efficient algorithms with rigorous mathematical models, and if you are eager to implement FW on a chip to see that everything works as expected under real-world conditions then it’s the right position for you. The role can be based in Tampere, Finland or in Thalwil, Switzerland.Your Responsibilities

  • Develop and maintain GNSS signal processing algorithms and FW Features
  • Design, implement and carry out tests for FW verification
  • Write and present technical documentation
  • Analyze non-conformities and develop bug fixes

Your Skills and Experience

  • MSc in electrical engineering
  • Detection/estimation and communications theories
  • Terrestrial multi-path fading channels and the implication in receiver design
  • Proficiency in embedded C/C++, MATLAB, Python etc.
  • Fact based analytical thinking, quality focus and detail focus
  • A good communicator, fluent in English speaking and writing
  • Strong motivation and capability to learn new things
  • Strong willingness and motivation to help each other

Bonus Point

  • Ph.D. is a plus
  • Experience of positioning receiver design

What are your perks?

  • A multicultural and international company with over 50 different nationalities
  • Project-based activities working with colleagues distributed across the globe.
  • A start-up and innovation mindset while in the process of scaling-up processes and efficiencies
  • Up to 40% remote work & flexible working hours
  • Training and career growth opportunities
  • Company Bonus and Stock Option Plan
  • Sport activities, Team events

Learn more about u-blox and its mission by watching this video !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 organisation and are committed to provide our employees with equal opportunities regardless of differences such as gender, race, ethnicity, generations, belief.