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Algorithm Engineer - Localization Team (entry-level)

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. 

-Click here to check out our Autonomous Valet Parking Demo at CES

-Click here to watch our short Zenuity movie 




Role Expectations: 

Our Localization Team is looking for an Algorithm Engineer! The Localization Team at Zenuity develops algorithms that determine the position and orientation of an autonomous vehicle.  Our algorithms help ensure that vehicles can safely operate in cluttered real-world driving environments.  We use data from a variety of sensors, including cameras, RADAR, LIDAR, Ultrasonic, IMUs, and GPS. 

You will become part of our team, and will help us develop, simulate, integrate, and test localization algorithms for safety critical autonomous vehicle systems, and deploy that software in real products. You will use agile processes and the C++ language to develop real-time software and associated software artifacts. 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 self-guided cross-functional teams building fully autonomous vehicle solutions!


Role Requirements: 

Our team is looking for a motivated candidate who wants to learn an improve their skills in this exciting field, with strong communication and problem-solving skills, and a desire to get things done. 

A Bachelor’s Degree in an Engineering or Science field is required.  This position is open to those with limited industry experience. Candidates must have a moderate level of programming experience, including at least some C++ experience, and must be comfortable working in a Linux environment.  You must have academic or industry experience in areas such as:

·       SLAM

·       state estimation

·       odometry (e.g. with IMUs)

·       LIDAR sensors

·       other automotive sensors (RADAR, camera, ultrasonic)

·       estimation theory (Bayesian filtering, the Kalman filter family)


Nice to Have skills (not required):

·       automotive embedded software experience, Clean Code, Test-Driven Development

·       NVIDIA/CUDA experience

·       exposure to Functional Safety (ISO 26262) and the AUTOSAR standard

·       experience in requirements/user story development, unit testing, and software integration

·       experience with Git, Gerrit, JIRA and Confluence

·       experience with robotics, ROS, and/or UAVs/UGVs



Benefits available as a Zenuitian:

  • Car Allowance
  • Paid Parental Leave
  • 401K
  • 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.



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

Making safe and intelligent mobility real.

At Zenuity, we lead the global movement of crafting tomorrow's mobility with the software platform of choice. Our mission is to “Make safe and intelligent mobility real, for everyone, everywhere”. This statement marks our conviction and dedication to bring autonomous driving out on the streets for real and is at the center of everything we do.  

We could not dream of achieving this without our great teams of very talented people. We are on this journey together and our agile way of working is reflected throughout our entire organization; it is part of our culture and how we work, develop and grow together. 


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