Vision Application Technician

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.

You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

• →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.

• You’ll empower our engineers to build and deploy world-class visual inspection solutions to solve challenging business problems.
  
• You’ll operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management.
  
• You’ll learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.
  

• 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.

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