Physical AI Machine Vision Lab Intern

Koi Reader Technologies, Inc. Physical AI Machine Vision Lab Intern Dallas, TX
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Physical AI Machine Vision Lab Intern to join our Dallas-based Team

Koi Reader Technologies is a pioneer and global leader in Al-powered Logistics, Supply Chain, and Industrial Automation and Generative AI solutions, and recognized in the industry for its Koi Vision Platform and Al Operating Model. Through our proprietary Visual Cognitive Engine, we provide real-time process, cargo, inventory, and asset visibility to logistics and supply chain organizations.

We're looking for a Machine Vision Lab Intern to join our Dallas-based lab team. This is a physical, hands-on role working directly with the hardware and infrastructure that powers Koi Reader's Facilities Intelligence Platform — cameras, sensors, lenses, edge servers, robots, networking equipment, and more.

This is NOT a software development role. You'll be in the lab and occasionally in the field, setting up, configuring, testing, and troubleshooting real hardware in real environments. You'll work closely with our U.S. and offshore product teams, so flexibility in working hours is required to accommodate collaboration across time zones.

Exceptional interns will be considered for a full-time employment offer as part of our Professional Services / Operations team upon successful completion of the internship.

• Set up, configure, and test machine vision hardware including cameras, lenses, sensors, and edge computing devices
• Perform device-level and OS-level configurations on edge servers and embedded systems
• Install, mount, and calibrate vision hardware in lab and client site environments
• Troubleshoot hardware, connectivity, and integration issues across the full device stack
• Configure and manage networking equipment (switches, routers, PoE hardware, VLANs, etc.) in lab settings
• Coordinate with offshore product and engineering teams on hardware validation and deployment tasks
• Support client site visits and on-site hardware deployments as needed
• Maintain detailed lab documentation including setup guides, configuration logs, and test results
• Assist in evaluating new cameras, sensors, and edge hardware for performance and compatibility

Required:

• Currently pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Network Engineering, IT, or a related hands-on technical field
• Comfort working with physical hardware — setting up, cabling, configuring, and troubleshooting devices
• Basic understanding of networking concepts (IP addressing, switches, routers, PoE)
• Familiarity with Linux OS configuration at the device level
• Strong attention to detail, a problem-solving mindset, and ability to work independently
• Flexibility to adjust working hours to collaborate with offshore teams when needed
• Must be located in or able to commute to Dallas, TX (daily on-site presence required)
• Willingness to travel to client sites in the Dallas area or other cities as occasionally needed

Nice to Have:

• Hands-on experience with IP cameras, RTSP streams, or video hardware
• Exposure to edge computing platforms (NVIDIA Jetson, Intel NUC, or similar)
• Familiarity with basic networking tools (ping, trace route, Wireshark, etc.)
• Experience racking/cabling servers or setting up AV/security camera systems
• Prior lab, field technician, or IT support experience

• Hands-on experience with cutting-edge AI hardware deployed at Fortune 50 companies
• Direct mentorship from experienced hardware and systems engineers
• Exposure to enterprise-grade physical AI infrastructure at scale
• A dynamic, collaborative startup environment in the heart of Dallas
• PATH TO FULL-TIME EMPLOYMENT — exceptional interns will be considered for FTE roles upon completion as part of our growing Professional Services team

Dallas, TX — ON-SITE REQUIRED This role is based at our Dallas lab.

If you're applying from a remote location, you'd need to state clearly in your application that you are willing to…