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Senior Computer Vision Engineer Jobs in Mountain View, CA

As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and deployment of computer vision models and inference pipelines running on both cloud and edge devices. In ...

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 ...

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Computer Vision Engineer

Menlo Park, CA · On-site

$131K - $155K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

... senior technical contributor. What you'll do * Assist in developing computer vision models for ... Document experiments, engineering decisions, and best practices. * Take on a variety of technical ...

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

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Showing results 1-20

Senior Computer Vision Engineer information

See Mountain View, CA salary details

$70.2K

$149.3K

$216.5K

How much do senior computer vision engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior computer vision engineer in Mountain View, CA is $149,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $169,300.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

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

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

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

The top searched job categories for Senior Computer Vision Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Senior Computer Vision Engineer jobs?

Cities near Mountain View, CA with the most Senior Computer Vision Engineer job openings:

Infographic showing various Senior Computer Vision Engineer job openings in Mountain View, CA as of June 2026, with employment types broken down into 34% Full Time, 48% Part Time, 1% Temporary, and 17% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $148,188 per year, or $71.2 per hour.

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 5 days ago


Job description


AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.