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Machine Vision Software Engineer Jobs in California

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

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 ...

Brachium

Robotics Vision Engineer

San Ramon, 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 ...

Apple

Machine Learning Software Engineer

Sunnyvale, CA

$184K - $324K/yr

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 ...

Raso360

Sr Systems Controls Engineer

Monrovia, CA · On-site

$102K - $135K/yr

Senior Systems Controls Engineer Position Summary The Senior Systems Controls Engineer will lead ... software. * Machine Vision Experience: 3+ years of experience designing custom machine vision ...

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

... 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 ...

Apple

Senior Software Engineer

Sunnyvale, CA · On-site

$143K - $189K/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 ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in California

Machine Vision Software Engineer information

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
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:
Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Machine Learning Software Engineer

Machine Learning Software Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 2 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.
Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.
Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.
Are you prepared to make a lasting impact on the future of technology?
Description
We seek a proactive Software Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
In this role, you will collaborate closely with computer vision and machine learning researchers to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.
Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
Minimum Qualifications
B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
Strong experience in Python.
Working experience in C++ or Swift.
Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems..
Preferred Qualifications
M.S., or Ph.D. with 5+ years of industry experience in machine learning or related fields.
Excellent math skills, including linear algebra, computational science and optimization.
Creativity and curiosity for solving highly complex problems.
Excellent communication and collaboration skills.
An interest in incubating ideas and taking them to finish.
Experience with iOS/macOS development.
Experience shipping algorithms or publishing in top tier CVML conferences.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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