Senior Principal Radar Autonomy Engineer

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Requirements:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, Electrical Engineering or a related field.
• Deep understanding of Radar hardware, DSP, and machine learning.
• Experience developing low-level data pipelines to enable leading machine learning performance.
• Understanding of computer architecture and mapping algorithms onto hardware.
• In-depth understanding of machine learning and deep learning algorithms.
• Experience designing, training, and analyzing neural networks for applications like object detection and motion prediction.
• Significant experience with software engineering principles.
• Fluency in Python and experience with PyTorch or other frameworks.
• Experience with data collection, curation, and large datasets.
• 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.
• Develop core deep learning codebase for training and testing pipelines.
• Conduct experiments, write reports/publications, and file patents.
• Work cross-functionally to define an optimal Radar subsystem.
• Mentor junior researchers on projects and document reviews.