Vision Application Technician

• 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.

Training/Teaching, Computer Vision, Artificial Intelligence (AI), Internet of Things, Manufacturing, Intel Product Family, College Level Faculty, Use Cases, Customer Support/Service, Deep Learning, * 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.

Bonus points if…

• 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.

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

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

About Matroid

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.