Design, implement, and test improvements to Perception subsystems, which may include Object Detection, Tracking, Sensor Fusion, or Scene Understanding.
Work with both conventional Perception techniques and ML-based approaches across camera, LiDAR and Radar modalities.
Evaluate and validate Perception performance using objective metrics, with attention to robustness across operating conditions.
Collaborate with the autonomy team to integrate Perception improvements into the broader autonomous driving system.
Stay current with relevant research and propose ideas to advance the Perception stack.

Requirements

Currently pursuing a Master's degree or higher in Robotics, Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.
Prior coursework or project experience in Machine Perception, Computer Vision, or Machine Learning for Robotics or Autonomous systems.
Familiarity with deep learning frameworks such as PyTorch and TensorRT.
Strong programming skills in C++ and Python.
Solid foundation in mathematics including linear algebra, probability, and optimization.
Experience working in a Linux environment.
Excellent communication skills and comfort working collaboratively in a fast-paced team.
Experience with 3D object detection models (LiDAR-based or camera-based).
Experience with Radar.
Familiarity with sensor fusion techniques across multiple modalities.
Experience with ROS2.
Prior experience at an autonomous driving company or Robotics startup.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Object DetectionTrackingSensor FusionScene UnderstandingMachine PerceptionComputer VisionMachine LearningC++Python3D object detection

Soft Skills

communicationcollaborationteamwork