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

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · 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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · 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 ...

Verkada

Software Engineer - Computer Vision

San Mateo, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

About the Role At the forefront of innovation, the Computer Vision team develops the artificial ... Mastery of at least one practical programming language * Experience working in an agile team ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Cupertino, CA

Computer Vision Engineer information

See Cupertino, CA salary details

$59.8K

$149.9K

$169.6K

How much do computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision engineer in Cupertino, CA is $149,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $162,200.00 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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Cupertino, CA?

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

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

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

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

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

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Cupertino, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $149,919 per year, or $72.1 per hour.

Senior Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA

$200K - $300K/yr

Full-time

Re-posted 4 days ago

Job description

About Mashgin
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.

Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.

We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable.

Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.

Position Summary
Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms. You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.
 
We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.
What We Value:
  • Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
  • Simplicity: Complexity is a waste of time here—we take pride in building things that just work.
  • Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
  • Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
  • Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
  • Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
  • Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.
You Will Be
  • Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
  • Coming up with large scale data collection techniques for training Deep Neural Nets
  • Driving the development of new algorithms that dramatically improve our existing methods
  • Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
  • Coding full-stack building products from end to end
Minimum Qualifications
  • 8+ years relevant coding experience
  • Masters degree in Computer Science or related field
  • Strong background in Computer Vision
  • Exposure to new Deep Learning techniques for image recognition
Preferred Qualifications
  • MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
  • Experience with Python or C/C++ in a Linux environment
  • Knowledge and experience in application of Deep Learning to Computer Vision problems
  • Real-world experience building Computer Vision systems
What We Offer
  • An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
  • Excellent health, dental and vision insurance for you and your dependents
  • 401k plan
  • Flexible PTO policy
  • Catered lunch in office with fully stocked snacks and beverages
  • Pet insurance for your fur babies
  • Voluntary life insurance plan
  • Competitive salary and options in a small, rapidly scaling company
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $200,000 - $300,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. 

Notice on fraudulent jobs
We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.

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.