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Computer Vision Engineer Jobs in San Ramon, 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 ...

Senior AI/Computer Vision Engineer

San Francisco, CA ยท On-site +1

$195K - $255K/yr

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 ...

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

AI Vision Engineer

San Francisco, CA ยท On-site

$150 - $210/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Senior Camera & Vision Engineer

Sunnyvale, CA ยท On-site

$150K - $300K/yr

Develop and integrate computer vision and ML-based algorithms into the perception stack * Work with ... Strong software engineering skills in C++ and/or Python * Experience integrating perception ...

Computer Vision AI & ML Engineer

San Mateo, CA ยท On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Showing results 21-40

Computer Vision Engineer information

See San Ramon, CA salary details

$54.2K

$135.8K

$153.7K

How much do computer vision engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer vision engineer in San Ramon, CA is $135,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $147,000.00 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 Ramon, CA?

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

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

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

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

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

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

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

Infographic showing various Computer Vision Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $135,796 per year, or $65.3 per hour.

Senior Computer Vision Engineer

Dexterity

Redwood City, CA โ€ข On-site

$160K - $200K/yr

Full-time

Re-posted 9 days ago


Job description

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 their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.

You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc...ย Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role.ย 

At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview.

About Dexterity
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.ย 

We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. ย  Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.ย  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.ย  And did we mention we're customer-obsessed?ย  Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible?ย 

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.ย  We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.ย  Come join Dexterity and help make intelligent robots a reality!
Required Skills:
  • BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
  • 5 or more years of related work experience
  • Experience with OpenCV and Open3D
  • Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow
  • Strong knowledge of Modern C++ and Python
  • Experience using profilers and debuggers to optimize code
  • Experience building and maintaining production code
  • Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others
  • Strong academic background and knowledge of ML and academic papers
  • Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines
  • Ability to trace and solve problems across interconnected systems, pipelines and applications
  • Experience with Git and modern CI pipelines
Nice to haves:
  • Experience with Docker and Kubernetes
  • Previous startup experience
$160,000 - $200,000 a year
Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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