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We are Aptiv – a new technology company with a proven history of enabling mobility. Operating as Aptiv, we pioneered advances in the industry. Now, as Aptiv, we’re more dedicated than ever to bringing the next generation of autonomous vehicles, smart cities and connectivity to life.
Want to do more than just imagine the ways our world will move tomorrow? Here’s your opportunity. Join the technology company that’s transforming the future of mobility today.
Aptiv is an advanced technology company with a proven history of enabling mobility. We’re dedicated to bringing the next generation of autonomous vehicles, smart cities and connectivity to life. Aptiv.com
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Our Validation Engineers play a key role in making the vehicle of the future a reality by developing technologies that deliver a turnkey, fully autonomous driving system for our customers and enable Mobility on Demand (MoD). As we expand our global footprint, we are looking for exceptional engineering talent to research and apply innovative solutions to our products.
Do you enjoy working with algorithms? Do you have experience with MATLAB/Simulink? If the answers are yes, we’re looking for you.
Validate the correctness and performance of computer vision algorithms
Design and implement software for the algorithm validation
Create new tools to improve the validation efforts and workflow
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Bachelor’s degree or higher in Robotics, ECE, Computer Science, or a related field; Master’s or PhD strongly preferred.
1+ years of experience in C and C++ programming.
Ability to understand and implement state-of-the-art algorithms.
Familiarity with Linux development environment.
Research experience is a plus.
Experience in the design and implementation of variant optimal estimation algorithms (Kalman Filter, EKF, UKF) in a real robotics system is a plus.
Strong knowledge of algorithm development in Simulink, Stateflow, and MATLAB scripting.
Preferred candidate will have knowledge of production code generation using MATLAB Coder/Simulink embedded coder.
Proficient in-vehicle debugging and testing skills using vehicle CAN communication tools (CANoe, CANalyzer, etc.), dSPACE/ControlDesk.
Results oriented, and previous demonstrated experience in product quality and innovation.
Strong problem solving skills.
Ability to learn.
Strong communication and interpersonal skills.
Flexible and creative thinking.
Verified company details for this employer are not available yet.
Full-time
Mid · 1+ years experience
Onsite
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