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Senior Computer Vision Engineer Jobs in Santa Cruz, CA

Computer Vision Engineer

San Jose, CA ยท On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Senior Computer Scientist

San Jose, CA

$78.75 - $105.50/hr

Senior AI ArchitectCommerce Factory - Agent Harness & Learning LayerTHE OPPORTUNITY Adobe Unified ... You will work closely with engineers, architects, product leaders, and platform teams to build ...

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Senior Computer Vision Engineer information

See Santa Cruz, CA salary details

$68.7K

$146.1K

$211.9K

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

As of Aug 31, 2026, the average yearly pay for senior computer vision engineer in Santa Cruz, CA is $146,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,700.00 and $165,700.00 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 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 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 popular job titles related to Senior Computer Vision Engineer jobs in Santa Cruz, CA?

For Senior Computer Vision Engineer jobs in Santa Cruz, CA, the most frequently searched job titles are:

What cities near Santa Cruz, CA are hiring for Senior Computer Vision Engineer jobs?

Cities near Santa Cruz, CA with the most Senior Computer Vision Engineer job openings:

Infographic showing various Senior Computer Vision Engineer job openings in Santa Cruz, 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, 1% Hybrid, and 4% Remote job distribution, with an average salary of $146,131 per year, or $70.3 per hour.

Computer Vision Engineer

San Jose, CA โ€ข On-site

$140K - $260K/yr

Full-time

Re-posted 2 hours ago


Job description

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
Note: This role must be based onsite in the United States. Visa sponsorship is not available for this position.
What you'll do:
  • Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities
  • Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment
  • Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar
  • Optimize perception algorithms for real-time performance on embedded compute
  • Analyze test data to characterize and improve perception performance
  • Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system

What you need:
  • Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience
  • Proficiency in C++ and Python
  • Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV)
  • Experience processing lidar and/or radar point-cloud data
  • Experience with sensor calibration and multi-sensor fusion
  • Demonstrated ability to take algorithms from concept through real-time, embedded deployment

Bonus Qualifications:
  • Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms
  • Experience with precision or automated landing systems
  • Background in subscale aircraft, robotics, or vehicle perception

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis. For this position we are targeting a base pay between $140,000 - $260,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.