Vision Application Technician

Matroid • Palo Alto, CA

90d

About The Position

With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we’re building an intuitive product that allows anyone to train and deploy computer vision models without needing to know how to write a line of code. Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, industrial IoT, and security. We’re looking for a Vision Application Technician to operate as the technical expert on end-to-end image formation and camera system design — helping our customers and engineering teams achieve optimal image quality and system performance for visual inspection use cases. You’ll balance time between hands-on lab experimentation and field deployments at customer sites, ensuring reliable and high-quality camera integrations across diverse environments.

Requirements

• Strong understanding of camera system pipelines and the tradeoffs between parameters and image quality.
• Hands-on experience selecting and configuring camera hardware for industrial or manufacturing environments.
• Working knowledge of networking infrastructure, including configuring switches, routers, and other network-related components.
• Practical experience troubleshooting imaging systems — both in the lab and in the field.
• Comfortable supporting customers directly through on-site visits, remote sessions, and training.
• Excellent collaboration, presentation, and communication skills — able to explain technical concepts clearly to both engineers and non-technical stakeholders.
• A self-driven mindset with the flexibility to work independently in the field and collaboratively within cross-functional teams.

Nice To Haves

• Experience in computer vision, artificial intelligence, machine learning, or a related field.
• Prior experience in solutions, sales engineering, or other customer-facing technical roles.
• Familiarity with one scripting language, such as Python.
• Experience integrating with downstream automation systems, including PLCs, Node-RED environments, MES, or SCADA platforms.
• Experience at a high-growth technology startup.
• High-level understanding of networking infrastructure and protocols such as GigE, GenICam, USBVision, and ONVIF.
• Familiarity with streaming protocols like RTMP, RTSP, and HLS.

Responsibilities

• Research and evaluate novel image formation systems to support advanced deep learning visual inspection use cases.
• Collaborate with sales and engineering teams to understand imaging requirements, and evaluate and specify optimal image formation systems — including camera, lens, lighting, and supporting hardware — for various visual inspection use cases.
• Experiment with and fine-tune these systems to optimize image and video quality.
• Configure and troubleshoot switches, routers, and other network components used in image acquisition pipelines.
• Assist with on-site installations, camera deployments, and end-to-end hardware bring-up, traveling frequently (50%–100%) to support deployments and provide in-person customer assistance.
• Provide on-call, on-site, and remote technical support and troubleshooting for camera systems, and deliver training sessions for customer teams as needed.

Benefits

• On-site training to help you be successful in this role.
• Competitive pay and compensation.
• Free lunch, healthy drinks, and snacks every day.
• A flexible schedule that leaves time for all of your other interests.
• Resources to learn about the cutting edge of software engineering and computer vision.

What This Job Offers

• Number of Employees: 11-50 employees