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Machine Vision Application Engineer Jobs in California

We're looking for a Vision Application Technician to operate as the technical expert on end-to-end ... machine learning, or a related field. * You have prior experience in solutions, sales engineering ...

We're looking for a Vision Application Technician to operate as the technical expert on end-to-end ... machine learning, or a related field. * You have prior experience in solutions, sales engineering ...

We're looking for a Vision Application Technician to operate as the technical expert on end-to-end ... machine learning, or a related field. * You have prior experience in solutions, sales engineering ...

Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments. * Programming ...

Application Engineer

Mountain View, CA ยท On-site

$132K - $187K/yr

Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments. * Programming ...

Application Engineer

Mountain View, CA ยท On-site

$132K - $187K/yr

Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments. * Programming ...

Sr. Vision Software Engineer

San Diego, CA ยท On-site

$130.10K - $171.50K/yr

Engineer vision solutions for automated test handlers and other quality inspection equipment ... Design, implement, and deploy full-stack machine vision (image-based) and machine learning ...

Sr. Vision Software Engineer

San Diego, CA ยท On-site

$125.90K - $165.90K/yr

Engineer vision solutions for automated test handlers and other quality inspection equipment ... Design, implement, and deploy full-stack machine vision (image-based) and machine learning ...

Computer Vision Engineer

Fremont, CA ยท On-site

$122.10K - $143.90K/yr

In addition, machine vision and machine learning technologies are being incorporated into the ... Document release features and application notes for customers. * Support customers in their ...

Computer Vision Engineer

Fremont, CA ยท On-site

$122.10K - $143.90K/yr

In addition, machine vision and machine learning technologies are being incorporated into the ... Document release features and application notes for customers. * Support customers in their ...

Sr. Vision Software Engineer

San Diego, CA

$125.90K - $165.90K/yr

Engineer vision solutions for automated test handlers and other quality inspection equipment ... Design, implement, and deploy full-stack machine vision (image-based) and machine learning ...

Role - AI Application engineer Location - Santa Clara, CA (Onsite) Duration - 12+ months Need ... Design and develop AI-powered applications using machine learning, generative AI, and data-driven ...

Field Application Engineer

Davis, CA ยท On-site

$85K - $115K/yr

... and engineers. If you are driven by innovation, love working in the field, and are eager to ... machine vision components. * Perform root cause analysis and necessary repairs, documenting each ...

Field Application Engineer

El Segundo, CA ยท On-site +1

$54.30K - $81.04K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

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Showing results 1-20

Machine Vision Application Engineer information

What are the key skills and qualifications needed to thrive as a Machine Vision Application Engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

How does a Machine Vision Application Engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a Machine Vision Application Engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What are popular job titles related to Machine Vision Application Engineer jobs in California? For Machine Vision Application Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Vision Application Engineer jobs in California look for? The top searched job categories for Machine Vision Application Engineer jobs in California are:
What cities in California are hiring for Machine Vision Application Engineer jobs? Cities in California with the most Machine Vision Application Engineer job openings:
Vision Application Technician

Vision Application Technician

Matroid

Palo Alto, CA โ€ข On-site

$35 - $40/hr

Part-time

Posted 28 days ago


Job description

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.

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.

What you'll be doing
  • 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.
How you'll be doing it
  • 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.
What you bring to the table
  • 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.
What we offer in return
    • 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.
    • 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.

    Employment Type: PART_TIME