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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy multi-sensor perception algorithms and pipelines for autonomous and semi-autonomous construction machines.
Implement production-quality C++ and Python perception software focused on object detection, classification, tracking, mapping, sensor fusion, and obstacle assessment.
Optimize and validate perception models on embedded CPU/GPU platforms, build automated evaluation workflows, and collaborate cross-functionally to deliver integrated machine capabilities.
Minimum Requirements
Bachelor’s or master’s degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, Mechatronics, or related field.
Strong programming skills in modern C++ and Python with Linux development and debugging experience.
Experience in perception tasks involving computer vision, deep learning, 3D point-cloud processing, sensor fusion, or robotic perception.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Has hands-on experience deploying and optimizing perception algorithms on embedded/edge platforms like NVIDIA Jetson using CUDA and TensorRT.
Demonstrates practical knowledge of multiple sensors (camera, LiDAR, radar, GNSS, IMU) related to calibration, synchronization, and data quality.
Experienced in building production-grade perception software for safety-critical applications in autonomous vehicles, construction, or off-highway equipment.