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Machine Vision Software Engineer Jobs in Santa Clara, CA

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Stanford University

Be Seen First

Machine Vision Scientist

Stanford, CA · On-site

Write and test video and data analysis software and assist with linking these systems to the lab ... Strong Python programming skills, with experience writing new pipelines that can be integrated into ...

Apple

Machine Learning Software Engineer

Sunnyvale, CA · On-site

Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously ... Description We seek a proactive Software Engineer to join our team in designing and implementing ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Santa Clara, CA

Machine Vision Software Engineer information

See Santa Clara, CA salary details

$74.6K

$173.3K

$241.3K

How much do machine vision software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine vision software engineer in Santa Clara, CA is $173,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,900.00 and $203,200.00 per year, depending on experience, location, and employer.

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

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

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in Santa Clara, CA? For Machine Vision Software Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Santa Clara, CA look for? The top searched job categories for Machine Vision Software Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Machine Vision Software Engineer jobs? Cities near Santa Clara, CA with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $173,257 per year, or $83.3 per hour.

Computer Vision (Software) Engineer

Sciton

Palo Alto, CA • On-site

$170K - $190K/yr

Full-time, Part-time

Vision, Retirement

Re-posted 27 days ago

Job description

Computer Vision (Software) Engineer
Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring 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 three consecutive years from 2022 to 2024.
If you want to work on meaningful technology that directly improves patient outcomes and be part of a company that values curiosity, ownership, and excellence, we would love to meet you.
Position Summary
As a Computer Vision (Software) 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&D and software teams, helping to bring new vision-based technologies from concept to production.
Your primary focus will be developing and deploying computer vision systems that analyze skin areas for subsequent control of peripheral devices. These systems directly support cutting-edge treatments used by clinicians and experienced by 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
  • Design, prototype, and deploy real-time computer vision algorithms for medical skin imaging and skin treatment guidance
  • Develop robust algorithms for:
    • Image registration and segmentation
    • Feature extraction
    • Object motion compensation
    • Multi-camera image fusion
  • Integrate embedded vision processing to control peripheral devices, optimizing for low latency and high reliability
  • Collaborate on optical calibration, illumination design, image quality analysis, and system troubleshooting
  • Evaluate and adapt existing medical imaging 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
  • Stay current with advances in computer vision, medical imaging, and AI-driven techniques

What We're Looking For
  • Hands-on experience creating and refining algorithms for medical skin imaging and treatment control, including:
    • Image registration and segmentation
    • Feature extraction
    • Motion compensation
    • Multi-camera image combination
    • Real-time guidance of peripheral treatment devices with low latency
  • Strong programming skills in C/C++ and Python, with solid object-oriented design experience
  • Knowledge of camera sensors, displays, and illumination systems
  • Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like GStreamer and OpenCV
  • Understanding of image, video, and illumination quality metrics and how to apply them

Core Qualifications
  • Master's or PhD in Computer Science, Computer Vision, Electrical Engineering, Physics, Optical or Biomedical Engineering, or a related field
  • Minimum of 3 years of relevant industry experience
  • Strong theoretical and practical background in computer vision and image/video processing
  • Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
  • Solid understanding of optical imaging physics, calibration, and verification techniques
  • Proven ability to take projects from concept through execution and delivery
  • A collaborative mindset and strong problem-solving skills

Preferred Skills & 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
  • 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)
  • Familiarity with emerging AI-based vision approaches

Compensation and Benefits
The salary range for this position is $170k - $190k. 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 Computer Vision (Software) Engineer
LOCATION Palo Alto, HQ
Pay Range: $170,000 - $190,000 per year

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