onsite
Perception System Integration Engineer - John Deere
Implementation Engineer
Lead the integration of advanced perception systems for autonomous agricultural machinery, leveraging C++, Python, ROS, and sensor fusion to deliver reliable, real‑time object detection and navigation solutions.
About the role
Key Responsibilities
- Design, develop, and integrate perception modules using C++ and Python within a ROS-based framework.
- Implement sensor fusion algorithms to combine data from LiDAR, cameras, and radar for robust object detection.
- Collaborate with hardware teams to optimize embedded software for real‑time performance on automotive-grade platforms.
- Validate and benchmark perception performance through simulation and field testing.
- Document architecture, interfaces, and test procedures for cross‑functional teams.
Requirements
- Strong programming skills in C++ and Python with experience in ROS.
- Proven knowledge of sensor fusion, computer vision, and machine learning techniques.
- Experience in embedded systems and real‑time software development.
- Familiarity with automotive safety standards and validation processes.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
cpythonrosmachine learning