Perception Engineer

Position Overview

We are seeking an experienced Perception Engineer III to lead the design, development, and deployment of advanced perception algorithms and sensor-integration solutions for autonomous vehicle platforms. This role requires a high degree of technical ownership and autonomy, with responsibility for solving complex perception challenges, supporting system integration, and mentoring junior engineers.

Key Responsibilities

• Lead the design, development, testing, and deployment of perception algorithms for LiDAR, radar, camera, and sensor-fusion applications.
• Architect and develop 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.
• Investigate and resolve complex perception failures through root-cause analysis, algorithm refinement, and system-level troubleshooting.
• Collaborate with planning, controls, and systems engineering teams to ensure perception outputs integrate effectively with the broader autonomy architecture.
• Deploy and configure perception systems at customer sites and provide technical leadership during system integration and validation.
• Mentor Perception Engineers I and II, conduct code reviews, and provide technical guidance and best practices.
• Document system architecture, algorithm design decisions, technical findings, and lessons learned to support knowledge sharing across the team.

Required Qualifications

• 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-level proficiency in C (C 11 or newer) with experience developing production-grade, multithreaded applications on Linux.
• Hands-on experience with at least two of the following:
• LiDAR point-cloud processing
• Automotive radar processing
• Image processing/object recognition
• Sensor fusion and object tracking
• Experience with 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 Python 3 or MATLAB for prototyping and analysis.
• Advanced understanding of linear algebra, probabilistic estimation, and coordinate transformations.

Physical Requirements

• Ability to remain stationary at a computer workstation for extended periods throughout the workday.
• Ability to operate computers and standard office equipment continuously as required.
• Ability to effectively perform job responsibilities using computer monitors.
• Ability to communicate and exchange information effectively in person, by phone, and through electronic communication.
• Ability to move throughout an office environment as required.

Ideal Candidate

The ideal candidate is a hands-on autonomous vehicle/robotics perception engineer with strong C and Linux expertise and demonstrated experience across multiple sensor modalities. The candidate should be comfortable owning complex perception problems, working across autonomy engineering teams, leading customer-site integrations, and mentoring junior engineers.