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Behavior Planning Team - Algorithm Engineer

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.

WHY JOIN? 

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 Behavior Planning Team is looking for an Algorithm Engineer! The Behavior Planning 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. As an Algorithm Engineer, you will be responsible to help with the development, simulation, implementation, integration, and testing of behavior planning algorithms for safety critical autonomous vehicle systems for real production products. You will use agile processes and C++ code to develop real-time software and collateral. You will work in modern simulation environments and have direct access to test vehicles to rapidly experience your results first-hand. You will work on a self-guided cross-functional team and interface with Senior team members who will provide guidance and mentorship. 

MUST-HAVE SKILLS 

A Bachelor’s Degree in Engineering or Science is required, but a Master’s is preferred. This position is open to those with limited industry experience. You must have a prior experience with finite state machines, probabilistic filters / statistics, and optimization-based planning. Past academic or work experience with robotics, motion and behavior planning for robotics, UAV or other autonomous systems is needed. You must have good C++ programming skills and be comfortable working in a Linux environment. 

EXTRA SKILLS 

Beneficial skills and experience include and automotive embedded software experience, NVIDIA/CUDA experience, good knowledge of Python, Functional Safety (ISO 26262) knowledge, experience in requirements development, unit testing, and software integration, experience with Git, JIRA and Confluence. Additionally, experience with ROS, and Machine Learning is beneficial. Prior AD/ADAS automotive experience is a plus. 

BENEFITS 

Full medical/dental/vision 

401(k) and Gain Sharing with company matching funds 

Vacation, Personal, Generous Holidays, College Savings 

PERKS 

Flexible working hours & work-life balance 

Dynamic work environment & attractive and flexible work spaces

 

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.

 

Join the Detroit team

Or, know someone who would be a perfect fit? Let them know!

Detroit, Michigan, USA

27777 Inkster Road
48334 Detroit, Michigan, USA Directions recruitment@zenuity.com

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