Perception Engineer III

Autonomous Solutions

• $110K — $130K *
Logan, UT 84321In-Person
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in computer science, electrical engineering, robotics, or related field; Master's preferred.
  • 4+ years in perception systems for autonomous vehicles or robotics.
  • Expertise in C++ (C++11 or newer) for production, multithreaded Linux applications.
  • Experience in at least two of: LiDAR processing, automotive radar, image recognition, or sensor fusion.
  • Familiarity with ROS or ROS2 and DDS or publish-subscribe messaging.
  • Proficient in machine-learning techniques deployed in C++.
  • Experience with Python3 or MATLAB for prototyping.

Responsibilities

  • Lead design, development, and deployment of perception algorithms across various sensors.
  • Architect C++ pipelines for real-time object detection, classification, and tracking.
  • Define standards and processes for sensor integration and validation.
  • Resolve complex perception failures and provide root-cause analysis.
  • Collaborate with teams in planning, controls, and systems for alignment with autonomy stack.
  • Deploy and configure perception systems for customer integration.
  • Mentor junior engineers through code reviews and technical discussions.

Benefits

  • Opportunity to work on cutting-edge autonomous vehicle technology.
  • Access to mentorship and professional growth within the Advanced Prototype team.
  • Work in a collaborative and innovative team environment.
  • Hands-on experience in real-world deployment and system integration.
  • Exposure to a variety of sensor technologies and AI coding tools.
Full Job Description
As a Perception Engineer III, you will lead the design and development of the perception algorithms and sensor-integration solutions that let ASI's autonomous vehicles understand the world. You architect real-time C++ pipelines for object detection, classification, tracking, and sensor fusion across LiDAR, radar, and cameras, and you run them in embedded environments. You work with high autonomy, drive resolution of complex perception failures, and mentor junior engineers. You partner with planning, controls, and systems teams, and you use AI coding agents to move quickly from idea to deployed capability on the Advanced Prototype team.

Responsibilities
  • Lead design, development, and deployment of perception algorithms for LiDAR, radar, camera, and sensor fusion.
  • Architect real-time C++ pipelines for object detection, classification, tracking, and fusion in embedded systems.
  • Define sensor selection criteria, integration standards, and validation processes.
  • Drive root-cause resolution of complex or non-standard perception failures.
  • Partner with planning, controls, and systems engineers to align perception with the autonomy stack.
  • Deploy and configure perception systems at customer sites, leading integration.
  • Mentor Perception Engineers I and II through code reviews and technical guidance.
  • Use AI coding agents to accelerate development from prototype to deployment.
  • Document architecture, design decisions, and lessons learned.


Qualifications
  • Bachelor's in computer science, electrical engineering, robotics, or a related field (Master's a plus).
  • 4+ years developing perception systems for autonomous vehicles or robotics.
  • Expert C++ (C++11 or newer), building production, multithreaded Linux applications.
  • Depth in at least two of: LiDAR point-cloud processing, automotive radar, image-based object recognition, or sensor fusion and tracking.
  • Experience with ROS or ROS2 and DDS or publish-subscribe messaging.
  • Working knowledge of machine-learning and AI techniques deployed in embedded C++.
  • Python3 or MATLAB for prototyping and analysis.
  • Advanced linear algebra, probabilistic estimation, and coordinate transformations.


Physical Requirements
  • Ability to remain in a stationary position at a computer workstation for extended periods.
  • Ability to operate a computer and other office productivity equipment continuously.
  • Ability to communicate and exchange information in person, via phone, and through electronic means.
  • Ability to traverse office, lab, data center, and field environments as required.
  • Ability to work in lab, prototype, and outdoor field environments around vehicles and equipment.

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