Deep Learning Engineer - Vision Team
Detroit, Michigan, USA
Who is Zenuity?
A joint venture owned 50/50 by Volvo Cars and Veoneer, we are creating software for autonomous driving vehicles.
Watch these short videos to gain insight to our culture, work environment and inspiring work that we’ve showcased at Las Vegas CES 2019.
You will be responsible for developing state of the art image processing and machine vision solutions (tracking, SLAM, visual-inertial odometry, structure from motion and 3D reconstruction, occupancy grid algorithms) to help develop a model of the world around the vehicle for safety critical autonomous vehicle systems for real production products. You will use agile processes and C++ language for Vision algorithm development while working in modern simulation environments and have direct access to test vehicles to rapidly experience your results first-hand. At Zenuity we work on self-guided cross-functional teams and interface globally where you will help make decisions. This role will mentor the team on technical issues, tools, and processes as necessary.
- Bachelor’s Degree in Engineering or Science
- 5+ years of industry experience
- Strong background and prior experience developing vision software for fully autonomous vehicles or ADAS
Beneficial skills and experience include and automotive embedded software experience, NVIDIA/CUDA experience, Functional Safety (ISO 26262), experience in requirements/user story development, unit testing, and software integration. Additionally, experience with robotics, ROS, and/or UAVs is beneficial.
Benefits available as a Zenuitian:
- Car Allowance
- Paid Parental Leave
- Competitive Health Care Plan
- Flexible Working Hours
- Working From Home
- Agile Working Environment
- No Dress Code
- & more!
With the skillset and mindset described you have the chance to make self driving cars a reality as an engineer at our site in Detroit.
We are really excited to welcome candidates with these skills so don't hesitate to take the chance of a lifetime!
Zenuity work proactively to create a culture of diversity and inclusion, where individual differences are appreciated and respected. To drive innovation we see diversity as an asset, which means we value and respect differences in gender, race, ethnicity, religion or other belief, disability, sexual orientation or age etc.
Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience.