🔥 Jetzt als Software Engineer/Physicist/Mathematician for SLAM/Localization (m/f/d) bei Valeo bewerben – Standort: Kronach

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Would you like to shape the future of intelligent mobility together with us? Join our VALEO team now and revolutionize the experience of autonomous and connected driving with us.

VALEO is the world market leader for sensor technology in the field of driver assistance and the market leader for parking systems. The research and development site in Kronach-Neuses has developed into a centre for autonomous driving. Around 100 developers are working there on the development of recognition functions for series products such as front cameras as well as research into algorithms for the latest sensor generations of cameras, ultrasound, LiDAR and RADAR and their use in autonomous driving and parking in urban and motorway environments.

For the Comfort and Driver Assistance Systems business group in the Driver Assistance division, we are looking for you to join our team at the earliest possible starting date.

These challenges await you

• development of algorithms for state estimation and SLAM methods of autonomous systems

• optimization of algorithms to improve efficiency and accuracy

• design, implementation and test of reusable components by means of rapid prototyping (Python) as well as software development (C++)

• collaborate in a research-based environment in a group of innovative engineers and scientists at one of the largest automotive suppliers worldwide

• collaboration with colleagues at other VALEO locations and with customers at vehicle manufacturers

• contributions of publications and patents

You inspire us with that:

• completed studies or doctorate (Master/Diploma) in the field of computer science, physics, mathematics, robotics or comparable

• in-depth knowledge of state estimation (Kalman, particle filter, …) and in particular SLAM algorithms

• experience in algorithm development and software implementation

• experience with common programming languages (Python, C++)

• good understanding of mathematics, statistics and physics

• software architecture and design patterns (preferably)

• knowledge of computer vision and point cloud processing (preferably)

• strong knowledge of German and English, both written and spoken

Why Valeo:

• Monetary. Performance-related salary package and company pension scheme (allowance).

• Career development. Scope to develop your own ideas as well as professional and personal development opportunities worldwide.

• Benefits. Allowances for sports, health, pension scheme, canteen, JobRad, regular employee events and much more.

• Flexibility. Working models that harmonize your professional and private life / work 2 days per week remotely is possible

• Setting. Flat hierarchies and modern working methods provide you with an innovative working environment.

• Future. Together we work on the trend topics of tomorrow's mobility.

Great technologies are born from passion!

Thanks to our innovation-focused strategy, at Valeo we are at the heart of the three revolutions that are transforming the automotive sector for good: Electrification, autonomous and connected vehicles, and digital mobility. We offer you excellent career opportunities and the chance to play an active role in shaping these revolutionary developments, including internationally.

Would you like to find out more? Alessa Knapp Tel: +49 (0) 176 3000 2352

For data protection reasons, please submit your application documents exclusively online via the job portal on our website www.valeo.com/de/karriere/ .

Follow us on LinkedIn and Twitter Germany !

Job:

Organization:

Schedule:

Employee Status:

Job Type:

Job Posting Date: