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John Galt Staffing
Software Engineering (Computer Vision/ROS)

Software Engineering (Computer Vision/ROS)

On site

Wilmington, United states

$ 80 /hour

Mid level

Freelance

02-02-2026

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Skills

Python C/C++ Configuration Management Test Linux Machine Learning PyTorch TensorFlow Deep Learning Computer Vision Programming C++ Analytics Artificial Intelligence Keras OpenCV

Job Specifications

Responsibilities

Design, develop, train, and evaluate novel deep learning models for real-time computer vision applications
Design and implement software of embedded devices and systems from requirements to prototype and customer deployment
Design, develop, code, test, and debug system software
Review code and design
Analyze and enhance efficiency, stability, and scalability of system resources
Assist in integrating and validating new product designs
Support software QA and optimize performance
Interface with hardware design and development
Assess third party and open source software

Qualifications

Bachelor's degree in Computer Science or Computer Engineering, with dedicated coursework in Artificial Intelligence and Computer Vision
5+ years practical experience in developing, optimizing performance and implementing predictive machine learning models within computer vision and video analytics domains
Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing SDK
Experience programming for real-time applications is highly desired
Experience coding in C/C++ & Python
Experience developing on Linux
Experience working with Robot Operating System (ROS or ROS2)
Relevant experience with software configuration management tools, defect tracking tools, and peer review
Ability to work with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, protocol analyzers and emulators

About the Company

John Galt contributes to the success of organizations and individuals nationwide by expertly matching them with one another. Founded in 1997, we have worked with thousands of organizations and individuals over the years to enable them to achieve success. Our focus is on Contractor Staffing in technology which are critical to an organization's success. Know more