Physical AI Implementation Specialist and Lab Assistant

The Role We're looking for a Machine Vision Lab Implementation Specialist and Lab Assistant to join our Dallas-based 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 our lab and occasionally in the field, setting up, configuring, testing, and troubleshooting real hardware in real environments. You may be required to drive vehicles in customer premises to help implement our hardware AI products. 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. This is a full-time employment offer to join our growing Professional Services / Operations team .

What You'll Do

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 Help Pack, Ship, Return products from our Dallas center to customer locations Follow the established Machine Vision lab process to ensure inventory is accurate and the working environment is optimal Visit Customer Facilities to help coordinate and implement our products What We're Looking For Required: A Bachelor's degree in Electrical Engineering, Computer Engineering, Network Engineering, IT, Mechatronics, or a related hands-on technical field Comfort working with physical hardware and tools — 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: 1-3 years experience 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, traceroute, Wireshark, etc.)

Experience racking/cabling servers or setting up AV/security camera systems Prior lab, field technician, or IT support experience What You'll Get Hands-on experience with cutting-edge AI hardware deployed at Fortune 50/500 companies Direct mentorship from experienced hardware and systems engineers Exposure to enterprise-grade physical AI infrastructure deployment at scale A dynamic, collaborative startup environment in the heart of Dallas Fast-paced learning in one of the fastest growing sectors in the industry (Physical AI) Location & Schedule Dallas, TX — ON-SITE REQUIRED This role is Dallas-based and requires onsite travel as required.

Remote or hybrid arrangements are NOT available for this position. If you're applying from a remote location, you'd need to state clearly in your application that you are willing to permanently locate to Dallas, Texas. Flexible working hours are required to support coordination with offshore product teams. Client site visits in the greater Dallas area or other cities will be required.

We review applications on a rolling basis and will reach out to qualified candidates promptly. This role requires immediate joining in July 2026. Required Qualifications US Citizen or Permanent Residence is required. We do not sponsor work visa applications or take OPT candidates. How to Apply Interested candidates are invited to submit their resume detailing their interest and qualifications.

Join us in shaping the future of supply chain technology and making a meaningful impact in a $1.87T global market. If you are passionate about thriving in a fast-paced environment, and are eager to contribute to our success, we want to hear from you! Koi. Reader Technologies is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and interns.

Salary $17.5 - $30 per hour