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Senior Computer Vision Engineer Jobs in California

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130.90K - $154.30K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132.90K - $156.70K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

... Vision * - Camera Calibration / Depth Estimation Qualifications Education and Experience * - Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

The Video Computer Vision organization within Video Engineering is a centralized applied research and engineering entity responsible for developing real-time on-device Computer Vision and Machine ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA

$212K - $386.30K/yr

The Video Computer Vision organization within Video Engineering is a centralized applied research and engineering entity responsible for developing real-time on-device Computer Vision and Machine ...

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Senior Computer Vision Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

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

As of May 31, 2026, the average yearly pay for senior computer vision engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Computer Vision Engineer, and why are they important?

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 are Senior Computer Vision Engineers?

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 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 most commonly searched types of Computer Vision Engineer jobs in California? The most popular types of Computer Vision Engineer jobs in California are:
What are popular job titles related to Senior Computer Vision Engineer jobs in California? For Senior Computer Vision Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in California look for? The top searched job categories for Senior Computer Vision Engineer jobs in California are:
What cities in California are hiring for Senior Computer Vision Engineer jobs? Cities in California with the most Senior Computer Vision Engineer job openings:
Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,900 per year, or $60 per hour.

Junior Computer Vision Engineer

Cesna Recruitment

San Diego, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

[Position]

Computer Vision Engineer 

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job Summary]

- To research and develop scalable computer vision and machine learning solutions to a hard problem

- To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning

- To design, implement, and deploy full-stack computer vision and machine learning solutions

[Job Description]

[Detailed Job Descriptions]

- Deep Learning Network Training and Deployment to wide range of CV application

- Image Enhancement

- Ghost removal / De-blurring / Contrast Enhancement

-Color Image Processing

- Denoising / Image Domain Transformation / Smoothing & Sharpening

-Segmentation

- Semantic Segmentation / Instance Segmentation

-Various Region Detection on Images

- Saliency / Anomaly

- Shape matching / Blob from multi-modal data / Model Fitting

-Classification

- Small Data driven / Big Data driven

-3D / Depth image processing development

- Transformations / Denoising (Artifact, ...) / Reconstruction / Ensemble

- Stereo Vision

- Camera Calibration / Depth Estimation

Requirements

[Qualifications]

[Education and Experience]

- Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience

- Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience

- Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience

[Technical Requirements] (At least, one of the below is required.)

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to C++ implementation of Computer Vision

[Skills to programming language ](At least, one of the below is required.)

- C++ / Python / CUDA

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays

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