Description

Key Responsibilities

Lead the design, development, and deployment of perception algorithms for LiDAR, radar, camera, and sensor fusion applications.

Architect real-time C++ processing pipelines for object detection, classification, tracking, and sensor fusion.

Develop production-grade, multithreaded applications in C++ on Linux.

Define sensor selection criteria, integration standards, and validation processes.

Troubleshoot complex perception issues through root-cause analysis and algorithm refinement.

Collaborate with planning, controls, and systems engineering teams to integrate perception outputs into autonomy systems.

Deploy and configure perception systems at customer sites and provide technical leadership during integration.

Conduct code reviews and mentor junior Perception Engineers.

Document system architecture, algorithm design decisions, and technical lessons learned.

Required Qualifications

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field. Master's degree preferred.

10+ years of overall experience preferred.

Strong hands-on expertise in C++11 or newer.

Production experience developing multithreaded Linux applications.

Professional experience developing perception systems for robotics, industrial automation, autonomous/intelligent vehicles, or similar platforms.

Strong experience in at least two of the following:

LiDAR point-cloud processing

Radar processing

Camera/image processing and object recognition

Sensor fusion and object tracking

Experience with ROS or ROS2.

Experience with DDS or publish/subscribe messaging architectures.

Strong understanding of Machine Learning / AI techniques used in embedded C++ environments.

Proficiency in Python 3 or MATLAB for prototyping and analysis.

Strong knowledge of linear algebra, probabilistic estimation, and coordinate transformations.

Preferred Qualifications

Experience with real-time perception systems for autonomous robotics or intelligent vehicles.

Experience integrating multiple sensors in embedded environments.

Experience with customer-site deployment and system integration.

Experience mentoring engineers and leading technical initiatives

Key Skills

Education

Bachelor's degree