Software Developer – Imaging & Automation - # 26-23731

US Tech Solutions; Marana (AZ); On-site; USD 110,000 - 160,000; Full time

Job summary

US Tech Solutions in the United States is seeking a Software Developer focused on imaging to advance greenhouse production through image‑based analysis and automation integration.

The role involves building pipelines with OpenCV/ML models, integrating with automation systems, and deploying robust computer vision solutions across enterprise networks. 4+ years of Python experience and proficiency with Docker, Linux, and modern frameworks are required.

Qualifications

• BS or higher in Software Engineering, Computer Science, or a related field (ABET‑accredited preferred).
• Strong Python development skills for image processing and analysis.
• Experience with computer vision and ML frameworks; Docker and CI/CD knowledge.

Responsibilities

• Develop and deploy image analysis solutions to support greenhouse production workflows.
• Apply classical computer vision and deep learning techniques to extract meaningful data from images.
• Integrate imaging systems with automation and control systems (sensors, actuators, machine interfaces).
• Design and maintain pipelines to transmit image data and derived insights across enterprise networks.
• Collaborate with cross‑functional teams including automation, infrastructure, and operations.

Skills

Python

OpenCV

YOLO

TensorFlow

PyTorch

Docker

Vue.js

React.js

Linux

Git CI/CD

Image processing

Education

BS in Software Engineering / CS

Tools

Docker

OpenCV

YOLO

TensorFlow

PyTorch

Vue.js

React.js

Git

Linux

Job description

Duration: 12 months Contract

Job Description

• We are seeking a motivated Software Developer with a focus on imaging technology to join our team supporting a seven-acre greenhouse operation. This role is critical to advancing our production capabilities through image-based analysis and automation system integration.
• In this position, you will design and implement image analysis solutions at multiple stages of the production process. You will work at the intersection of computer vision and industrial automation, extracting actionable insights from image data and integrating those outputs into real‑time control systems.
• The ideal candidate has hands‑on experience with both traditional computer vision techniques and modern machine learning approaches, and can build robust pipelines that move data efficiently across enterprise networks.

Responsibilities

• Develop and deploy image analysis solutions to support greenhouse production workflows
• Apply classical computer vision and deep learning techniques to extract meaningful data from images
• Integrate imaging systems with automation and control systems (e.g., sensors, actuators, machine interfaces)
• Design and maintain pipelines to transmit image data and derived insights across enterprise networks
• Collaborate with cross‑functional teams including automation, infrastructure, and operations

Experience

• 4+ years of professional software development experience
• Strong Python development skills, particularly for image processing and analysis
• Experience with computer vision and machine learning frameworks (e.g., OpenCV, YOLO, TensorFlow, PyTorch)
• Experience with Docker or other containerization technologies
• Frontend development experience using modern JavaScript frameworks (Vue, React)
• Linux environment experience
• Experience interfacing with I/O devices for automation or machine control
• Familiarity with Git and CI/CD pipelines

Skills Set

• Experience working in a prototyping or R&D environment
• Exposure to industrial automation systems or equipment
• Hands‑on experience with deep learning/CNN‑based image models
• Networking and firewall configuration experience

Education

• BS or higher in Software Engineering, Computer Science, or a related field (ABET‑accredited preferred)

Licenses: Not required

Certifications: Not required

Shift Hours: 8:00AM -5:00 PM EST

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI‑assisted tools may be used during hiring.