Computer Vision Engineer Jobs in California
Computer vision engineer jobs in California are among the most active in the country, concentrated in autonomous vehicles, robotics, semiconductor design, and consumer electronics across a seniority range from entry-level ML engineers through principal researchers. The largest hiring metros are San Francisco, San Jose, and Los Angeles, where companies such as Apple, Qualcomm, and Google maintain substantial engineering operations and consistently recruit for computer vision roles. The most in-demand specialties are real-time object detection, 3D scene reconstruction, and on-device inference optimization for edge hardware. Find a role that fits below and apply directly.
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Showing 5 of 49+ Computer Vision Engineer jobs
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experience in a technical leadership role; overseeing projects, with 3 years of experience in a people management, supervision/team leadership role.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience with computer vision learning techniques, machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning), generative AI, or applied AI applications
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 5 years of experience with one or more of the following: Computer Vision, Reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- Multiple research publications in top CV/ML conferences (e.g., CVPR/ICCV/ECCV/NIPS/ICLR).
- Experience working in large-sized engineering and cross-functional teams.
- Expertise in modeling with TensorFlow, JAX, etc.
- Excellent people management and communication skills.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
As an Engineering Manager, you will use your extensive Machine Learning and Computer Vision experience to lead the team in designing and building the freshest and most detailed 3D navigation map using sensor data (e.g., imagery, vehicle telemetry, location data, authoritative data, etc.), large ML models, and AI techniques to create new structured geospatial data and transformative user experiences for 2 billion+ users globally.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power Geo’s next generation navigation products. Translate ambiguous input data challenges into clear algorithmic, ML, GenAI formulations, brainstorming directly with product, UX, and engineering to define the optimal visual experience and iterate towards scalable solutions.
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role, aligned with broader organizational goals. Meet regularly with individuals to discuss performance, development, feedback and coaching.
- Develop the long-term technical outlook and roadmap, meeting anticipated future requirements and infrastructure needs.
- Design, guide and vet system designs, and write product or system development code to solve ambiguous problems. Conduct code reviews and provide feedback ensuring best practices.
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experience in a technical leadership role; overseeing projects, with 3 years of experience in a people management, supervision/team leadership role.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience with computer vision learning techniques, machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning), generative AI, or applied AI applications
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 5 years of experience with one or more of the following: Computer Vision, Reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- Multiple research publications in top CV/ML conferences (e.g., CVPR/ICCV/ECCV/NIPS/ICLR).
- Experience working in large-sized engineering and cross-functional teams.
- Expertise in modeling with TensorFlow, JAX, etc.
- Excellent people management and communication skills.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
As an Engineering Manager, you will use your extensive Machine Learning and Computer Vision experience to lead the team in designing and building the freshest and most detailed 3D navigation map using sensor data (e.g., imagery, vehicle telemetry, location data, authoritative data, etc.), large ML models, and AI techniques to create new structured geospatial data and transformative user experiences for 2 billion+ users globally.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power Geo’s next generation navigation products. Translate ambiguous input data challenges into clear algorithmic, ML, GenAI formulations, brainstorming directly with product, UX, and engineering to define the optimal visual experience and iterate towards scalable solutions.
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role, aligned with broader organizational goals. Meet regularly with individuals to discuss performance, development, feedback and coaching.
- Develop the long-term technical outlook and roadmap, meeting anticipated future requirements and infrastructure needs.
- Design, guide and vet system designs, and write product or system development code to solve ambiguous problems. Conduct code reviews and provide feedback ensuring best practices.
See All 49 Computer Vision Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Computer Vision Engineer JobsComputer Vision Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Computer Vision Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Electronics & Hardware
- Consulting & Professional Services
- Technology & Software
- Telecommunications
- Construction & Real Estate
What California Employers Look For
The qualifications that appear most often in computer vision engineer jobs across California.
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
- Proficiency in Python and C++ with hands-on experience in OpenCV or PyTorch
- Experience designing and training deep learning models for image or video tasks
- Familiarity with camera calibration, sensor fusion, or 3D point cloud processing
- Ability to optimize models for deployment on embedded or edge computing hardware
- Experience with real-time systems and performance benchmarking on GPU or NPU targets
Computer Vision Engineer Jobs in California: Frequently Asked Questions
How do you become a computer vision engineer in California?
Computer vision engineering in California requires no state-issued license, so the path runs through education and demonstrated technical skill. Most California employers expect at least a bachelor's degree in computer science, electrical engineering, or applied mathematics, with a master's preferred for research-heavy roles. Building a portfolio of projects involving object detection, segmentation, or depth estimation, and contributing to open-source repositories, is the most effective way to make a profile competitive before applying.
How much do computer vision engineers make in California?
Computer vision engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire computer vision engineers in California?
Employers hiring computer vision engineers in California right now include Apple, Google, and Meta, based on current listings on Migrate Mate as of September 2026. California's concentration of autonomous vehicle programs, semiconductor firms, and consumer hardware companies makes it one of the most consistent states for sustained computer vision hiring throughout the year.
Which California cities have the most computer vision engineer jobs?
Sunnyvale, Mountain View, and San Diego have the most computer vision engineer openings in California. The San Francisco Bay Area and San Jose dominate because of the density of autonomous vehicle startups, chip design companies, and large tech headquarters in Silicon Valley, while Los Angeles draws volume from its growing aerospace, entertainment technology, and robotics sectors.
Are there remote computer vision engineer jobs in California?
Yes, but they're less common than in purely software-focused roles, because much of the work involves hardware integration, lab testing, and sensor calibration that requires on-site access. About 36% of computer vision engineer openings tied to California are remote or hybrid as of September 2026, with remote options concentrated in research, algorithm development, and model training tasks that don't depend on physical equipment.
How can I get hired as a computer vision engineer in California with little or no experience?
The most realistic entry path is an associate or new-graduate software engineering role focused on ML infrastructure or data pipelines at a California company, then moving laterally once you've built internal credibility. Large California employers such as Intel, Qualcomm, and Apple run university recruiting programs and internship-to-hire pipelines aimed at recent graduates. A strong portfolio of computer vision projects on GitHub, ideally including a deployed model on edge hardware, is the credential that separates entry-level candidates most effectively in California interviews.
Where can I find and apply to computer vision engineer jobs in California?
You can find and apply to computer vision engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the available roles, find the ones that match your background and target location, and apply directly to each position.
See All 49 Computer Vision Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Computer Vision Engineer Jobs