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Machine Vision Software Engineer Jobs in California

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

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 ...

Software Engineer

Sunnyvale, CA

$147.40K - $220.90K/yr

Our organization combines ground breaking software engineering with the power of machine learning ... Description We are seeking a Senior Software Engineer with both strategic vision and hands-on ...

Senior Software Engineer, Robotics

Torrance, CA

$127.90K - $168.60K/yr

... vision in robotic systems. As a key member of our team, you will contribute to the design ... with other software products. * Collaborate with senior engineers to understand project ...

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 ...

... Machine Learning. * As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics ...

Senior Software Engineer

Sunnyvale, CA · On-site

$143.80K - $189.50K/yr

Our organization combines ground breaking software engineering with the power of machine learning ... We are seeking a Senior Software Engineer with both strategic vision and hands-on engineering ...

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Machine Vision Software Engineer information

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 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 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 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 California? For Machine Vision Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in California look for? The top searched job categories for Machine Vision Software Engineer jobs in California are:
What cities in California are hiring for Machine Vision Software Engineer jobs? Cities in California with the most Machine Vision Software Engineer job openings:
Infographic showing various Machine Vision Software Engineer job openings in California as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution.
Senior Software Engineer (PLC + Robotics)

Senior Software Engineer (PLC + Robotics)

Bright Machines

San Francisco, CA • On-site

$170K - $210K/yr

Full-time

Posted 12 days ago


Job description

RETHINK MANUFACTURING
The only way to ignite change is to build the best team. At Bright Machines®, we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.
Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you.
ABOUT THE ROLE:
Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our flexible robotic manufacturing lines. Our robots, and the software that controls them, are deployed in a variety of factory conditions and help support the manufacturing operations for some of the biggest names in the industry.
As a Senior Software Engineer, you will build scalable systems that help our users program, deploy, and operate our automation equipment. You will work with other Engineers in the Bright Machines San Francisco office to define, architect, implement, and deploy our software stack - from robot to cloud. If you're ready to apply exceptional engineering practices and build the software that will define the next generation in manufacturing, this is your opportunity to "Be Bright".
WHAT YOU WILL BE DOING
  • Help design, develop and deploy software components that help realize Bright Machines vision of Software Defined Manufacturing
  • >
  • Contribute best-in-class programming skills to develop reliable and scalable frameworks and infrastructure
  • >
  • Write clean, maintainable code, and perform peer code-reviews
  • >
  • Create unit, integration, and end-to-end tests to ensure we are continually shipping code to production
  • >
  • Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
  • >
  • Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules
  • >
  • Pair with adjacent teams to understand how your frameworks and infrastructure are actually used in the field, providing tier 3 remote support for production systems, continuously improving them and leveraging recent advances to improve developer velocity
  • >

WHAT WE WANT TO SEE
  • Experience with manufacturing engineering systems (PLCs) and at least 4 of the following with experience in a production environment: Software Development, On Prem infrastructure, Networking, Distributed Systems, Storage, Infrastructure As Code, Cloud infrastructure, Controls Engineering, Security Engineering, Robotics Software, Systems Development Engineer, Site Reliability Engineer
  • B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field
  • >
  • 5+ years of job experience as Software Engineer or equivalent role
  • >
  • Proficiency in a variety of modern programming languages (Python, Javascript, C#, Go, etc)
  • >
  • Ability to work in a variety of compute environments (Windows, Linux, AWS/Azure)
  • >

IT WOULD BE GREAT IF YOU HAD
  • Development experience on both frontend and backend of production systems
  • >
  • Experience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needs
  • >
  • Knowledge and demonstrated application of software engineering best practices relating to the SDLC including coding standards, code reviews, SCM, CI/CD, testing, and operations
  • >
  • Demonstrated ability to mentor and grow other team members
  • >
  • Fluency in Spanish (technical)
  • >

$170,000 - $210,000 a year
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.