Simulation Verification Engineer - Decision & Control Team
Detroit, Michigan, USA
About Zenuity- Making it Real
We are breaking new ground with world-class driver-assistance and autonomous-driving technologies. To meet the automotive industry’s requirements, we are developing a software in a fashion and context that hasn’t been done before. With robustness, speed to market and a flexible approach we are changing the way the world looks at mobility, infrastructure and everyday life for people worldwide.
We work on interesting technical challenges using cutting edge technologies in a high performance, agile organization with an innovative environment & high level of autonomy, putting you in the driver’s seat. We have a team-based structure with professional management & continuous development, where you will be exposed to many areas within Autonomous Driving, maximizing development opportunities.
We work on interesting technical challenges using cutting edge technologies in a high performance, fully agile organization with an innovative environment & high level of autonomy, putting you in the driver’s seat. We have a team-based structure with professional management & continuous development, where you will be exposed to many areas within Autonomous Driving, maximizing development opportunities.
WHAT YOU WILL DO
Our Decision & Control Team is looking for a Simulation Verification Engineer! The Decision & Control Team at Zenuity develops algorithms that use map data and perception/sensor and motion planning information to make autonomous driving decisions relating to traffic behavior, object avoidance and driving laws that allow the autonomous vehicle to safely function alongside other vehicles and objects, static and dynamic. You will be responsible for the development of Zenuity’s simulation verification environment, and for verification testing of behavior planning algorithms for safety critical autonomous vehicle systems for real production products. You will use agile processes, graphics and compute APIs and C++ code to develop this simulation environment which will connect algorithms developed by the Behavior Planning, Motion Planning, and Vehicle Control Teams. You will have direct access to test vehicles to rapidly experience your results first-hand. You will work on self-guided cross-functional Agile teams and interface internally with our User Experience (UX) Team where you will help make decisions.
A Bachelor’s Degree in Computer Science or Computer Engineering or similar is required. This position requires some past industry experience. You must have a strong background and prior experience with Game Engines (e.g. Unity3d, Unreal Engine 4) or game development. Experience interfacing with automotive AD sensors (RADAR, Camera, LIDAR, Ultrasonic, IMU) are also needed. You must also have experience with OpenGL or other graphics APIs. You must have C++ programming skills and be comfortable working in a Linux environment.
Beneficial skills and experience include 3D computer graphics, 3D modeling and computational geometry, and 3D scene creation from real world data. Automotive software background, NVIDIA experience and/or GPU programming experience, Python, network communication protocols are also beneficial. Prior experience in requirements development, unit testing, and software integration, and experience with Git, JIRA and Confluence are desirable. Additionally, experience with Autonomous Vehicles, robotics, and/or UAVs is beneficial.
401(k) and Gain Sharing with company matching funds
Vacation, Personal, Generous Holidays, College Savings, Car Allowance Program
Flexible working hours & work-life balance
Dynamic work environment & attractive and flexible work space
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!
Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience.