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Computer Vision Engineer Jobs in San Jose, CA (NOW HIRING)

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

As a Senior AI/Computer Vision Engineer, you will lead the design, development, optimization, and deployment of AI models and inference pipelines across cloud and edge platforms. You will advance our ...

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Showing results 21-40

Computer Vision Engineer information

See San Jose, CA salary details

$56.8K

$142.4K

$161.1K

How much do computer vision engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer vision engineer in San Jose, CA is $142,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 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 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 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.

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 most commonly searched types of Computer Vision Engineer jobs in San Jose, CA?

The most popular types of Computer Vision Engineer jobs in San Jose, CA are:

What are popular job titles related to Computer Vision Engineer jobs in San Jose, CA?

For Computer Vision Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in San Jose, CA look for?

The top searched job categories for Computer Vision Engineer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Computer Vision Engineer jobs?

Cities near San Jose, CA with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $142,415 per year, or $68.5 per hour.

Staff Computer Vision Engineer (657689)

Netpace Inc

Santa Clara, CA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Netpace Inc is a company specializing in advanced technology solutions, and they are seeking a Staff Computer Vision Engineer. The role involves developing computer vision and machine learning solutions, particularly in real-time applications, while working with large software architectures and simulation software.
Responsibilities:
• Responsible for developing computer vision and machine learning solutions and for people monitoring (face detection, 3D pose estimation, object tracking, facial expression recognition, motion estimation, and activity recognition) and understanding of context (internal and external conditions, peoples activities, etc.) in video data
• Using one or more cameras, create software and system that runs- in real time using multiple GPUs both in a simulated lab environment and in real-life application platforms
• Developing and implementing software modules for a large software architecture
• Developing simulation software in Oktal and SCANeR
Qualifications:
Required:
• PhD or MS in Computer Science, Electrical Engineering or a related field
• At least two-year experience in computer vision
• Essential hands-on experience in developing projects involving deep learning models
• Projects involving state-of-the-art models including ResNet, Yolo.v2, VGG, etc. object detectors
• Projects using CNNs, LSTMs, etc.
• Very strong implementation skills using TensorFlow Library (Keras, Caffe, Theano, PyTorch, MxNet, etc. is also acceptable)
• Very strong implementation skills in C++
• 3+ years of experience in C++
• Very strong implementation skills in OpenCV
• Relevant publications at computer vision venues
• Solid understanding and extensive experience with object detection and object recognition
• Experience with supervised learning and classification algorithms
• Well versed in the state-of-the-art in real time 2D and 3D data processing
• Experience in technologies for autonomous vehicles and relevant technologies for human-machine interaction (HMI)
• Experience in working with data from RGB cameras, IR cameras, depth cameras
• Experience operating on large data sets (database experience a plus)
• Experience with data collection, data labeling, feature design, training, cross-validation, feature down-selection, performance evaluations
• Experience in code optimization and core reviewing
• Strong attention to details
• Highly motivated and able to work as a team player
• Highly motivated, innovative and enthusiastic
• Good oral and written communication, interpersonal skills and fluency in English
• Ability to meet deadlines and commitments in a fast paced environment
Company:
Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in 1996, the company is headquartered in San Ramon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Netpace logo

About Netpace

Sourced by ZipRecruiter

Netpace is a reputable company in the Information Technology and Services industry, headquartered in San Ramon, California, in the United States. The company specializes in providing digital transformation solutions by leveraging cutting-edge technologies. It offers a wide array of services, including Software Development, IT Consulting, Cloud Services, Infrastructure Management, and Digital Marketing. Ever since its launch, Netpace has been driven by a mission to use technology as a medium to shape future businesses and make a significant impact.

Industry

Professional, scientific, and technical services

Company size

51 - 200 Employees

Headquarters location

San Ramon, CA, US