Senior Robotics Software Engineer, Computer Vision

Quality Control Specialist - Pest Control; Lawrenceville (GA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading robotics company is seeking a computer vision engineer to develop state-of-the-art vision software for AGV robots. The ideal candidate will have significant experience in computer vision, sensor fusion, and multi-sensor algorithms, with a Ph.D. in a relevant field. The role offers a chance to work hands-on in innovation, alongside a talented team, to solve complex challenges in automation and robotics.

Qualifications

• 5+ years of experience developing computer vision algorithms for target detection, tracking, and classification.
• Experience with multi-sensor fusion algorithms.
• Experience with LiDAR-based perception and target detection.

Responsibilities

• Responsible for delivering world-class computer vision systems for VisionNav AGV robots.
• Collaborate with a diverse team on core topics in computer vision and optimization.
• Work hands-on in the lab to develop systems from sensor selection.

Skills

Computer Vision Algorithms

Deep Learning

Optimization

Python

C++

Communication Skills

Education

Ph.D. in Computer Vision, Robotics, Electrical Engineering, or a related field

Job description

VisionNav Robotics Control team develops state-of-the-art computer vision software used to obtain high-accuracy poses of AGV and high-definition maps of the factories we operate in. This work is foundational to enabling autonomy in complex environments.

We are looking for passionate computer vision engineers who are interested in gaining industry experience and diving into the exciting and challenging data at hand. As a computer vision Engineer, you will be responsible for delivering world-class computer vision systems for VisionNav AGV robots.

You'll collaborate with a diverse team of researchers and engineers on core topics in computer vision, deep learning, and optimization. You will work hands-on in our Atlanta-based lab with VisionNav’s robots and other 3rd party systems to develop computer vision systems from the ground up, starting with sensor selection. Your solutions will power VisionNav’s inspection deliverables under some of the most challenging conditions.

Technical Qualifications & Language Requirements

5+ years of demonstrated experience developing computer vision algorithms for target detection, tracking, and classification using camera and LiDAR data
Experience with multi-sensor fusion algorithms to improve detection accuracy and reduce ambiguity in real-world scenarios
Ability to collaborate effiectively with cross-functional teams, including testing and hardware
Excellent understanding of Python and C++
Excellent communication skills, both written and verbal

Qualifications

Ph.D. in Computer Vision, Robotics, Electrical Engineering, or a related field
5+ years experience in computer vision, sensor fusion, and robotics
Experience with physics-based image formation models, including camera model, distortion, and radiometric corrections
Experience with LiDAR-based preception and target detection
Published papers/research in computer vision top conference