Senior Principal Radar Autonomy Engineer

Summary

Join a world-class team of engineers at Motional and lead the development of state-of-the-art radar systems for next-generation autonomous vehicles. As a Principal Radar Autonomy Engineer, you will own the development of radar systems, from hardware design and data processing to machine learning model development. You will collaborate with a cross-functional team to integrate the radar sensor suite into the overall autonomous driving system. This hands-on role requires expertise in both hardware and software, including deep learning and radar technology. You will mentor junior researchers and contribute to the advancement of autonomous vehicle technology. The ideal candidate possesses a strong background in machine learning, radar systems, and software engineering, along with leadership experience. This position offers a competitive salary and benefits package.

Requirements

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, Electrical Engineering or a related field
• Deep understanding of Radar hardware, Radar DSP, Radar machine learning, and Radar testing/performance that informs optimal machine learning performance
• Experience developing low-level data pipelines to enable industry leading machine learning performance
• Understanding of computer architecture principals and how data pipelines and machine learning algorithms map onto hardware
• In-depth understanding of common machine learning and deep learning algorithms (e.g. for classification, regression, and clustering)
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, multitask learning, motion prediction, and/or tracking
• Significant experience with software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience defining data collection, data curation, and working with large data sets
• Leadership and mentoring experience

Responsibilities

• Applied research and development of deep neural networks for end-to-end solutions
• Own and deliver state-of-the-art Imaging Radar hardware and machine learning to push the performance boundaries for next generation Autonomous Vehicles
• Develop core deep learning codebase for efficient training and testing pipelines
• Conduct deep learning experiments, write reports / publications, and file patents
• Work cross functionally with high performance compute, systems, vehicle engineering, autonomy, and suppliers as the end-to-end Radar owner and domain expert to architect and define an optimal sub-system
• Use your top-notch development expertise to inspire others to develop better practices and principles
• Mentor junior researchers by providing guidance on research projects and design document reviews

Preferred Qualifications

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with physical simulation of Radar and other sensors

Benefits

Medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance