Perception Engineer

Description

As a Perception Engineer III , you are responsible for leading the design and development of advanced perception algorithms and sensor integration solutions that drive the performance of clients autonomous vehicle platforms. You operate with a high degree of autonomy, own complex technical processes, and actively mentor junior engineers on the Perception team.

• Lead the design, development, and deployment of perception algorithms for LiDAR, radar, camera, and sensor fusion applications across clients autonomous platforms.
• Architect real-time C++ processing pipelines for object detection, classification, tracking, and sensor fusion in embedded environments.
• Define sensor selection criteria, integration standards, and validation processes for new and existing perception systems.
• Drive resolution of complex or non-standard perception failures through root cause analysis and algorithm refinement.
• Collaborate cross-functionally with planning, controls, and systems engineers to align perception outputs with broader autonomy architecture.
• Deploy and configure perception systems at customer sites, providing technical leadership during integration.
• Mentor Perception Engineers I and II, conducting code reviews and providing technical guidance.
• Document system architecture, algorithm design decisions, and lessons learned to build team knowledge.

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field;
  Master's degree preferred.
• 4-7 years of experience developing perception systems for autonomous vehicles or robotics platforms.
• Expert proficiency in C++ (C++11 or newer) with demonstrated experience building production-grade, multithreaded Linux applications.
• Proven experience with at least two of the following:
  LiDAR point cloud processing, automotive radar processing, image processing for object recognition, or sensor fusion and object tracking.
• Experience with Robot Operating System (ROS or ROS2) and DDS or publish-subscribe messaging architectures.
• Strong understanding of machine learning and AI techniques deployed in embedded C++ environments.
• Proficiency in Python3 or MATLAB for prototyping and analysis.
• Advanced knowledge of linear algebra, probabilistic estimation, and coordinate transformations.

• Ability to remain in a stationary position at a computer workstation constantly throughout the workday.
• Ability to constantly operate a computer and other office productivity machinery.
• Ability to effectively complete job responsibilities on computer monitors.
• Ability to effectively communicate and exchange information in person, via phone, and through other electronic means.
• Able to traverse an office environment.