Tech Stack

Description

You will lead the development of advanced perception algorithms for autonomous vehicles, focusing on object detection, tracking, and sensor fusion using camera, lidar, and radar data. You'll optimize models for real-time performance on embedded hardware, collaborate with cross-functional teams, and mentor junior engineers to deliver safe and reliable self-driving technology.

Requirements

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, or related field
• In-depth understanding of ML and Deep Learning algorithms
• Experience with deep learning frameworks (TensorFlow or PyTorch)
• Fluency in Python and scientific computing libraries
• Proven track record deploying perception systems for autonomous vehicles or robotics

Responsibilities

• Lead development of perception algorithms for object detection, tracking, classification, and segmentation
• Design sensor fusion algorithms combining camera, lidar, and radar data
• Optimize perception algorithms for real-time performance on embedded hardware
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and guide junior engineers