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Computer Vision Engineer Jobs in Sacramento, CA (NOW HIRING)

... GPU programming, and performance optimization. Contributes to the design, development, and ... across domains such as computer vision, machine learning, and deep learning. Assists in ...

Hazen and Sawyer is seeking a CAD/BIM Designer to work alongside project managers and engineers to ... Comprehensive health benefits (medical, dental, vision, and prescription plans) * Pre-tax flexible ...

Mead & Hunt, an award-winning national architecture and engineering firm, has continued to exceed ... Impressive Benefits Package Mead & Hunt proudly offers medical, dental, and vision insurance, paid ...

This role will assist with engineering design, CAD drafting, construction documentation, and ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

This role will assist with engineering design, CAD drafting, construction documentation, and ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

This role will assist with engineering design, CAD drafting, construction documentation, and ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

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Computer Vision Engineer information

See Sacramento, CA salary details

$51.7K

$129.6K

$146.6K

How much do computer vision engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for computer vision engineer in Sacramento, CA is $129,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $140,200.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are the most commonly searched types of Computer Vision Engineer jobs in Sacramento, CA? The most popular types of Computer Vision Engineer jobs in Sacramento, CA are:
What are popular job titles related to Computer Vision Engineer jobs in Sacramento, CA? For Computer Vision Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Sacramento, CA look for? The top searched job categories for Computer Vision Engineer jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Computer Vision Engineer jobs? Cities near Sacramento, CA with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Sacramento, CA as of July 2026, with employment types broken down into 7% Internship, 57% Full Time, 29% Part Time, and 7% Temporary. Highlights an 100% In-person job distribution, with an average salary of $129,574 per year, or $62.3 per hour.

INCIDENT RESPONSE SECURITY ENGINEER

West Advanced Technologies (WATI)

Sacramento, CA • On-site

$173K/yr

Full-time

Re-posted 26 days ago


Job description

POSTING NOTICE/NOTICE OF FILING
(MULTIPLE POSITIONS)
INCIDENT RESPONSE SECURITY ENGINEER: Complex technology implementations in a product centric
environment.-Bridging the gap between legacy development or operations teams.-Ensure developers create the most
secure systems while enhancing the privacy of all system users.- Perform White-hat hacking and fundamental
computer science concepts.-Perform security audits, risk analysis, application-level vulnerability testing, and security
code reviews.-Develop and implement technical solutions to help mitigate security vulnerabilities. -Conduct research
to identify new attack vectors.
JOB REQUIREMENTS: Master's Degree or equivalent in Computer Science, Computer Applications, or related
quantitative/analytical field (see below list of acceptable fields of study). OR in the alternative a bachelor's degree in
computer science, Computer Applications, or related quantitative/analytical field of study (see below list of acceptable
fields of study) AND five (5) years of experience in the offered position or related experience.
Wage: $137, 384.000/Year
SENIOR AI/ML ENGINEER. Develop and Implement ML Models. Design, develop, and deploy machine learning
models to solve complex problems and enhance technological solutions within the organization. Responsible for Data
Preparation and Analysis. Collect, preprocess, and analyze large datasets to train and evaluate machine learning
models. Responsible for Algorithm Development. Research and implement advanced machine learning algorithms and
techniques, including deep learning, natural language processing (NLP), and computer vision. Model Optimization by
Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Collaborate and work
closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate
machine learning solutions into products and services. Code Quality and Documentation and write clean, maintainable,
and efficient code, and document the development process and methodologies. Stay abreast of the latest advancements
in machine learning and AI technologies, and apply new techniques to improve existing models and solutions
JOB REQUIREMENTS: Master's Degree or equivalent in Computer Science, Computer Applications, or related
quantitative/analytical field (see below list of acceptable fields of study). OR in the alternative a bachelor's degree in
computer science, Computer Applications, or related quantitative/analytical field of study (see below list of acceptable
fields of study) AND five (5) years of experience in the offered position or related experience. Wage:
$173,618.00/Year
*Acceptable Fields of Study FOR ALL POSITIONS: Computer Science, Computer Information Systems, Computer
Applications, Engineering, including Electronics/Electrical, Software Engineering, Communications Engineering,
Computer Engineering, Civil Engineering, Mechanical Engineering, & Industrial Engineering. Bus. Admin, Acct.,
Finance, Management, Math, Physics, Commerce, Technology, Wireless Communications, Telecommunications, and
Information Systems
** Employer provides IT Consulting and training services to various clients nationwide, thus frequent
travel/relocation nationwide is required- job location may change
Please contact:
Tracy M, HR Manager - West Advance Technologies, Inc,
2150 River Plaza Drive, Suite 340, Sacramento, CA 95833
or via email at: tracy.m@wati.com