GNSS Software Engineer and Architect
Pubblicato il 12-08-2026 - Thales Group in Milano
A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.CANDIDATES THAT WOULD IMPRESS USPROFILE:You graduated with a Master of Engineering, Computer Science, Computer Engineering or any other related fieldYou enjoy working within a DevOps/Agile/Scrum team and being plunged into a challenging environment requiring reactivity and resourcefulnessYou want to evolve in a "real time" environment with interactions between "low level" technical aspects, close to the hardware,
and ensure that the “high level” functionality expected by the solution is maintainedYou are willing to work on small or big devices such as Radar, embedded calculator equipment, Smartcards and Wearables, dedicated for the Telecommunications and IOT businesses, mobile...COMPETENCIES:You know how to develop on embedded OS Software such as Linux, VxWorks, FastOS LinuxYou are experienced in embedded software development such as [C or C++ and VB., NET., ADA, Assembly programming]You are familiar with the use of tools and equipment involved in programming performance (including measuring instruments)You master the development/adaptation of simulation tools and means necessary to carry out integration/testing activities on platformYou are experienced in embedded system and application design and configuration (both wayside and onboard) and relevant communication protocols and interfaces such as [DDS, ARINC...]You have substantial knowledge of:Building a strategy based on your understanding of the business issues involving data processes