Deep Learning Engineer (Radar Computer Vision)
Robin Radar Systems
Deep Learning Engineer (Radar Computer Vision)
Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for radar computer vision. The role involves building robust models for complex radar data, optimizing for edge computing, and collaborating with AI specialists and radar experts. Requires a Master's degree and 5+ years of experience in deep learning for computer vision.
Deep Learning Engineer (Radar Computer Vision)
Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for radar computer vision. The role involves building robust models for complex radar data, optimizing for edge computing, and collaborating with AI specialists and radar experts. Requires a Master's degree and 5+ years of experience in deep learning for computer vision.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design and build robust detection, segmentation, and tracking models for complex 3D, 4D, and 5D radar data.
- Translate raw signal processing concepts into high-performing neural network architectures.
- Develop innovative strategies to handle imperfect, sparse, or missing radar labels.
- Automate dataset creation and labeling workflows.
- Optimize neural networks using TensorRT for real-time, low-latency inference.
- Ensure models run smoothly on edge hardware deployed in the field.
- Partner closely with software and radar engineers to integrate models into live products.
- Co-develop and refine deep learning approaches alongside AI teammates.