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Computer Vision Jobs in San Jose, CA (NOW HIRING)

Socket.dev

Senior Computer Vision Architect

Sunnyvale, CA · On-site

$250/hr

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

Apple Inc.

Senior Computer Vision Architect

Sunnyvale, CA · On-site

$250/hr

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

$216K - $394K/yr

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

They are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for robotics and automation, working across the full machine learning lifecycle.

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All JobsComputer Vision JobsComputer Vision Jobs in San Jose, CA

Computer Vision information

See San Jose, CA salary details

$39.3K

$56.6K

$74.4K

How much do computer vision jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer vision in San Jose, CA is $56,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $65,000.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

What are the most commonly searched types of Computer Vision jobs in San Jose, CA?

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

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

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

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

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

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

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

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $56,605 per year, or $27.2 per hour.

Senior Computer Vision Architect

Socket.dev

Sunnyvale, CA • On-site

$250/hr

Other

Posted 8 days ago

Key responsibilities

  • Coordinate and integrate computer vision algorithms, firmware, and low-level software to develop real-time on-device computer vision and image quality technologies.

  • Collaborate with hardware and software teams to influence system architecture, sensors, silicon, and roadmaps for Apple products.

  • Drive the co-design of computer vision systems by understanding and balancing algorithm performance, imaging pipeline, system resources, and real-time constraints.

Job description

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception, and Image Quality technologies for Apple products. We balance research and product development to deliver Apple quality, state-of-the-art experiences. We innovate across the full stack and partner with hardware and software teams to influence SW architecture, sensors, silicon, and PD/ID roadmaps that bring our vision to life.

Description

The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting programs across many Apple products! We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, imaging pipeline, system resources, and real-time constraints. To be successful in this role, you not only have to be an excellent engineer, but also a phenomenal collaborator—comfortable communicating with a wide range of experts and leaders across many different domains, from firmware and OS to feature and experience. Are you ready to be a part of the next big thing at Apple?

Minimum Qualifications
  • BS degree in Computer Science, Electrical Engineering, or a related field, coupled with a minimum of 20 years of relevant, proven experience.
  • Proven track record of leading cross-functional initiatives that have successfully transformed state-of-the‑art computer vision research into production‑ready features.
  • Deep product mindset focused on architecting technical solutions that solve real business problems and deliver high customer value.
  • Deep understanding of multi‑modal perception systems, sensor fusion, and diverse imaging technologies is crucial.
  • Depth of expertise in one or more computer vision specialty areas that this role assesses for. These areas may include SLAM, tracking, classification, calibration, PnP‑based pose estimation, scene understanding, human representation, and image enhancement.
  • Strong leadership skills to drive large cross‑functional efforts, resolve conflicts, and present results to the highest levels of Apple leadership. This includes demonstrating the ability to bridge the gap between high‑level algorithm design and low‑level system optimization, particularly in the challenging environment of optimizing image signal processing (ISP) performance under tight power and latency constraints.
Preferred Qualifications
  • Proven track record of designing custom silicon, sensors, or optics.
  • Ideal candidates will have exposure to modern, innovative techniques such as vision transformers, foundation models, and vision‑language models, with a strong focus on integrating these methods into resource‑constrained environments.
  • Experience leading real‑time computer vision projects (e.g., SLAM, tracking, classification, calibration, PnP‑based pose estimation, scene understanding, human representation, and image enhancement) or low‑level software development for ISP organizations.
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