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Vision System Jobs in California (NOW HIRING)

Socket.dev

Senior Vision Systems Engineer

Sunnyvale, CA · On-site

$140 - $210/hr

... vision systems. Success in thisrole requires technicaldepth, intellectual curiosity, strong ... Troubleshoot mechanical,electrical, and system-level issues usingstructured, data-driven rootcause ...

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Actalent

Software Vision Engineer

Poway, CA

$130K - $145K/yr

Troubleshoot and support deployed vision systems in manufacturing environments, including performing root cause analysis and driving continuous improvement efforts. * Own technical delivery for ...

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Vision System information

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$14

$27

$42

How much do vision system jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for vision system in California is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $31.54 per hour, depending on experience, location, and employer.

What is a vision system?

Vision systems, also known as machine vision systems, are technologies that enable machines or computers to interpret and process visual information from the world, typically using cameras and image processing software. They are widely used in manufacturing, robotics, quality control, and automation to inspect products, guide robots, and monitor processes. These systems can analyze images or video streams to detect defects, measure parts, or identify objects. Vision systems help improve efficiency, accuracy, and consistency in industrial and commercial applications.

How do vision system engineers typically collaborate with other departments during a project?

Vision system engineers frequently work cross-functionally with teams such as software development, mechanical engineering, and quality assurance. They coordinate closely with these groups to integrate vision hardware and algorithms into larger automation or manufacturing systems, ensure compatibility, and troubleshoot issues during deployment. Regular meetings and open communication channels are essential, as these engineers often provide technical guidance and receive feedback to optimize vision solutions for end-user needs. This collaborative approach helps ensure the final product meets both technical specifications and operational requirements.

What are the key skills and qualifications needed to thrive as a vision system engineer, and why are they important?

To thrive as a Vision System Engineer, you need strong knowledge of computer vision, image processing, programming (Python, C++), and a relevant degree in engineering or computer science. Familiarity with tools such as OpenCV, TensorFlow, MATLAB, and experience with industrial cameras and vision software is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams. These skills are essential for designing reliable vision solutions that meet complex automation and quality control needs in various industries.

What is the difference between Vision System vs Machine Vision Engineer?

AspectVision SystemMachine Vision Engineer
CredentialsTypically requires technical certifications or degrees in engineering, computer science, or related fieldsSame as Vision System, often with additional specialization in software or hardware development
Work EnvironmentManufacturing plants, automation facilities, R&D labsIndustrial settings, research labs, automation companies
Industry UsageUsed across manufacturing, robotics, quality controlDesigning, developing, and implementing machine vision systems in industrial applications

While both roles involve working with vision technology, a Vision System typically refers to the hardware and software setup used for automation, whereas a Machine Vision Engineer focuses on designing and developing these systems. The engineer role is more specialized in software development and system integration, making it suitable for those with a technical background in engineering or computer science.

What are popular job titles related to Vision System jobs in California?

For Vision System jobs in California, the most frequently searched job titles are:

What job categories do people searching Vision System jobs in California look for?

The top searched job categories for Vision System jobs in California are:

Vision System jobs near you
Infographic showing various Vision System job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,437 per year, or $27.1 per hour.

Optics and Computer Vision (Systems) Engineer

Sciton

Palo Alto, CA

$150K - $220K/yr

Full-time

Retirement

Posted 22 days ago

Job description

Optics and Computer Vision (Systems) Engineer

Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers brought laser products to market just a few years after lasers were first invented, and that same spirit of innovation still drives us today.

We are built on a strong set of values: Selflessness, Candor, Innovation, Execution, Objectivity, Excellence, Learning, Ownership, and Clarity. With more than 500 employees worldwide, Sciton has been recognized as a USA TODAY Top Workplace for four consecutive years from 2022 to 2025.

If you want to work on meaningful technology that directly improves patient lives and be part of a company that values curiosity, ownership, and excellence, we would love to meet you.

Position Summary
As an Optics and Computer Vision (Systems) Engineer, you’ll play a key role in advancing Sciton’s next generation of medical and aesthetic products. You’ll be embedded within both the R amp;amp;D and software teams, helping to bring new vision-based technologies from concept to production.

Your primary focus will be developing imaging and computer vision systems that analyze skin lesions for subsequent control of peripheral devices and actuators. These systems directly support cutting-edge treatments used by clinicians and benefit patients worldwide.

You’ll collaborate closely with software, hardware, and clinical teams to guide projects through Sciton’s New Product Introduction (NPI) process—turning innovative ideas into real-world products.

What You’ll Work On
  • Develop in a mixed hardware and software environment optical systems and real-time computer vision algorithms for medical skin imaging and skin treatment actuator control
  • Select camera and illumination hardware resulting in high image/video quality and consistent
  • skin lesion assessment under varying light conditions
  • Develop robust algorithms for:
    • Multi-sensor and multi-camera image fusion
    • Image registration, segmentation and feature extraction
    • Detection and quantitative assessment of visual events
    • Object motion compensation
    • Optimized visual servoing
  • Integrate vision processing to control peripheral devices and actuators, optimized for low latency and high reliability
  • Spearhead optical calibration, illumination design, image quality analysis, and system-level troubleshooting along the various technology pipelines
    • Resolve image distortion errors and alignment failures by systematically analyzing interactions across imaging pipeline subsystems.
    • Devise end-to-end calibration workflows, including target selection, data acquisition procedures, automated calibration execution and output of quantitative calibration quality metrics
  • Evaluate and adapt existing visual servoing and vision algorithms for clinical use
  • Work with external technology partners and vendors to select and refine imaging solutions
  • Contribute to patent filings and support regulatory documentation, including risk analysis and system validation
  • Support the development of ML and AI powered technologies beneficial to users
What We’re Looking For
  • Strong experience delivering high-quality optical images for users and sub-systems
  • Hands-on, systems-oriented experience creating and refining algorithms for medical skin
  • imaging and treatment control, including:
    • Image registration, segmentation, feature extraction, object/defect detection, coordinate transformation and stereo depth determination
    • Multi-sensor and multi-camera image fusion
    • Real-time guidance of peripheral treatment devices with low latency
    • Visual servoing amp;amp; motion compensation
  • Strong programming skills in C/C++ and Python, with solid object-oriented design experience
  • Knowledge of camera pipelines, 2D/3D vision algorithms, sensors, displays, and illumination systems
  • Strong understanding of image, video, illumination and visual servoing quality metrics and how to apply them for performance verifications
  • Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like Gstreamer, PyTorch, TensorFlow, OpenCV, Zemax and other toolkits
Core Qualifications
  • Master’s or PhD in Optical Physics, Computer Science, Biomedical Engineering, or a related field
  • Minimum of 4 years of relevant industry experience
  • Strong theoretical and practical background in optical imaging, computer vision, image/video
  • processing, actuator controls for low latency and related performance verification metrics
  • Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
  • Proven ability to take projects from concept through execution and delivery
  • A collaborative mindset and strong problem-solving skills
  • Preferred Skills amp;amp; Experience
  • GPU/CUDA acceleration
  • FPGA, NPU, or hardware-accelerated vision pipelines
  • Memory-mapped I/O, DMA, and real-time performance optimization
  • Vision pipeline latency reduction and throughput optimization on edge devices
  • Experience in 3D imaging
  • Experience in biological imaging, quantitative contrast analysis and tissue perfusion assessment
  • Experience in denoising, deblurring, color processing, pixel‑level correction, lens shading and distortion correction, quantitative image‑quality assessment (MTF, SNR, contrast).
  • MIPI CSI camera integration, ISP tuning, and sensor control (I2C, SPI)
  • H.264/H.265 video encoding for live video streams
  • Thermal management, power optimization, and EMC considerations
  • ROS/ROS2 experience (if vision interacts with robotic systems)
Compensation and Benefits
The salary range for this position is $150k - $220k. In addition to a competitive market-based salary, Sciton provides an opportunity to participate in equity/stock incentive programs, a profit-sharing bonus, and a comprehensive benefits package, including 401(K) with matching
FULL-TIME/PART-TIME Full-Time
POSITION Optics and Computer Vision (Systems) Engineer
LOCATION Palo Alto, HQ

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