Senior Autonomous Vehicle Perception Engineer

Experis Technology Group

Dallas (TX)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Experis Technology Group seeks a Senior Autonomous Vehicle Perception Engineer in Dallas, TX to lead perception algorithm development for LiDAR, radar, camera, and sensor fusion. You will architect real-time C++ pipelines for object detection, tracking, and fusion in embedded environments.

The ideal candidate has 4–7 years of experience in autonomous systems, strong C++11+ skills, and hands-on ROS/ROS2 with DDS.

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 proficiency in C++ (C++11 or newer) with experience building production-grade, multithreaded Linux applications.
  • Proven experience with LiDAR point cloud processing, automotive radar processing, image processing, or sensor fusion and object tracking.
  • Experience with Robot Operating System (ROS or ROS2) and DDS or publish-subscribe messaging architectures.

Responsibilities

  • Lead design, development, and deployment of perception algorithms for LiDAR, radar, camera, and sensor fusion across 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 perception systems.
  • Drive resolution of complex perception failures through root cause analysis and algorithm refinement.
  • Collaborate with cross-functional teams to align perception outputs with the broader autonomy architecture.

Skills

C++ (C++11 or newer)
LiDAR processing
Sensor fusion / object tracking
Linux multithreaded apps
DDS / publish-subscribe
ROS/ROS2

Education

Bachelor's degree in CS/EE/Robotics
Master's degree preferred

Tools

ROS/ROS2
DDS

Job description

Our client, a leading innovator in autonomous vehicle technology, is seeking a dedicated Senior Autonomous Vehicle Perception Engineer to join their dynamic team. As a Senior Autonomous Vehicle Perception Engineer, you will be an integral part of the engineering department supporting the perception and sensor integration teams.

Job Title: Senior Autonomous Vehicle Perception Engineer

Location: Dallas, Texas

What's the Job?

  • Lead the design, development, and deployment of perception algorithms for LiDAR, radar, camera, and sensor fusion applications across 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 perception systems.
  • Drive resolution of complex perception failures through root cause analysis and algorithm refinement.
  • Collaborate with cross-functional teams including planning, controls, and systems engineers to ensure perception outputs align with broader autonomy architecture.

What's Needed?

  • 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 experience building production-grade, multithreaded Linux applications.
  • Proven experience with LiDAR point cloud processing, automotive radar processing, image processing, or sensor fusion and object tracking.
  • Experience with Robot Operating System (ROS or ROS2) and DDS or publish-subscribe messaging architectures.

What's in it for me?

  • Opportunity to work on cutting-edge autonomous vehicle technology in a collaborative environment.
  • Engage in innovative projects that push the boundaries of perception systems.
  • Work with a talented team of engineers committed to excellence and continuous learning.
  • Contribute to impactful solutions shaping the future of transportation.
  • Be part of a company that values diversity, inclusion, and professional growth.
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