Robotics Perception Engineer — Vision & AI Systems

ArcBest; Fort Smith (AR); On-site; USD 90,000 - 130,000; Full time

Job summary

ArcBest is seeking a Robotics Engineer - Perception to design and deploy perception software for autonomous and automated logistics systems. The role emphasizes algorithm development, 3D point cloud processing, and machine learning within a collaborative, fast-paced team environment.

The candidate will work on computer vision pipelines, hardware-software integration, and performance optimization using CUDA and other toolchains, with responsibilities spanning requirements, design, and

Qualifications

• Bachelor's Degree in Engineering, Computer Science, or related field is required.
• Master's Degree in Robotics, Electrical Engineering, Computer Science, or equivalent experience is preferred.
• Prior experience in computer vision, artificial intelligence, or related field.

Responsibilities

• Design, test, and build robotic software systems that are productive and safe to operate.
• Create advanced algorithms for robotic perception.
• Develop software and processes that dictate robotic systems functionality.
• Utilize computer vision algorithms for perception pipelines.
• Utilize 3D Point Cloud processing for perception pipelines.
• Utilize machine learning algorithms to enhance perception systems for robustness and speed.
• Develop and document system requirements and allocate/decompose them to components/controllers.
• Implement CI concepts in software development and maintenance.

Skills

C++

Linux

Computer Vision

Programming

Robotics

Troubleshooting

GPGPU CUDA

Communicating Complex Concepts

Education

Bachelor's Degree in Engineering or Computer Science

Master's Degree in Robotics or related field (preferred)

Tools

CUDA

Linux tooling

Job description

ArcBest is seeking a Robotics Engineer - Perception to design and deploy perception software for autonomous and automated logistics systems. The role emphasizes algorithm development, 3D point cloud processing, and machine learning within a collaborative, fast-paced team environment.

The candidate will work on computer vision pipelines, hardware-software integration, and performance optimization using CUDA and other toolchains, with responsibilities spanning requirements, design, and