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Machine Vision Software Engineer Jobs in Santa Clara, CA

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

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 ...

... intelligence and machine learning models that power Verkada's advanced analytics. Their ... software engineering experience * 1+ years of work or research experience with current neural net ...

The Senior Software Engineer will develop, optimize, and deploy perception algorithms and software ... machine learning models for object detection, tracking, and classification. • Utilize edge AI ...

... Software Engineer to join their innovative team. The role involves developing, optimizing, and ... machine learning models for object detection, tracking, and classification. • Utilize edge AI ...

... Software Engineer to join their innovative team. The role involves developing, optimizing, and ... machine learning models for object detection, tracking, and classification. • Utilize edge AI ...

Showing results 21-40

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 8, 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 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:
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.

Robotics Vision Engineer

Brachium

San Ramon, CA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Description Robotics Vision EngineerTitle

Robotics Vision Engineer

Company Description

We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We're startup veterans with backgrounds in healthcare, robotics and consumer electronics. We are developing groundbreaking technologies that will transform a whole industry segment. We love what we do and we have fun at it. We work in a laid-back, flat hierarchal company structure. We're passionate about building an outstanding company and products that change consumer experiences.

Job Description

We're looking for an experienced, detail-oriented individual to join our team and work in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve exciting product development challenges. This is a high-visibility position within our fast-growing company and assumption of increased responsibilities over time is expected.

Essential Job Duties and Responsibilities
  • Develop and test vision algorithms to control robots and advanced hardware systems created for human interaction environments
  • Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices
  • Port, implement, and optimize analytics and machine learning algorithms using special purpose computing architectures
  • Propose and implement creative, efficient solutions for vision and control problems, and contribute to expanding our intellectual property portfolio
  • Perform technical performance benchmarking and analyses to support engineering decisions
  • Determine project specifications and project schedule by studying product requirements and specifications, calculating time requirements and sequencing project elements
  • Assist in installation and running of product demonstrations
  • Debugging with no additional support.
  • Participate in design reviews
  • Documentations for design control
Skills & Experience
  • Fluency in C++, OpenCV and PCL
  • Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification
  • Experience in machine learning algorithms for vision problems, including deep learning.
  • Experience in real-time video analytics pipeline
  • Experience in robotics desirable
  • Knowledge of internal hardware, 3D camera designs, design logic, and camera logic
  • Preferable development experience in a regulated environment (healthcare, automotive, etc.)
  • Effective documentation practices and experience writing reports and protocols
  • High level of technical aptitude and understanding of system design
  • Microsoft Office and technical presentation skills
Passions
  • Technical: engineering reliable, safe, efficient products
  • Design: Building great consumer experiences
  • Innovation: Seeing the world differently and generating solution
  • Contribution: Building something that serves humanity
  • Learning organization: highly engaged team member
  • Entrepreneurial: sees challenges, opportunities for improvement, and adaptability
Qualifications
  • B.S., M.S. or Ph.D. and 5+ years of work in computer vision, software or related field
  • Strong competencies in algorithms and software design optimized for embedded systems
  • Working experience in algorithm optimization for embedded hardware platforms
To Apply
  • Please submit a current resume and links to any additional information such as online portfolio, projects, GitHub, LinkedIn, etc.