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Computer Science Engineer Jobs in San Jose, CA (NOW HIRING)

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or ...

Senior AI Data Science Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related technical field with 6+ years of relevant experience, or PhD with 3+ years of relevant experience.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Bachelor's degree in Computer Science, Computer Engineering, Machine ...

Master's degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field * 8-12+ years of experience in AI/ML engineering, data science, or ...

... Engineers with expertise in AI models, to join our team in San Jose, California.. This is a ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

... Engineers with expertise in AI models, to join our team in San Jose, California.. This is a ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Bachelors/Masters degree in Electrical/Electronics Engineering or Computer Science * Ten+ years of hands-on experience in development of high-performance chips - either in a design or CAD role * High ...

Showing results 21-40

Computer Science Engineer information

See San Jose, CA salary details

$56.8K

$142.4K

$161.1K

How much do computer science engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer science engineer in San Jose, CA is $142,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a computer science engineer?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What do computer science engineers do?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

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

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.

Do computer science engineers make good money?

Computer science engineers typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions often start with moderate pay, while experienced engineers working in specialized fields or in high-demand areas can earn significantly higher salaries, especially with skills in programming, software development, and systems design.

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

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

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

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

Infographic showing various Computer Science Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $142,415 per year, or $68.5 per hour.

Computer Vision Engineer

Meta

Burlingame, CA • On-site

$183K - $257K/yr

Full-time

Re-posted 29 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users.
Responsibilities
Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices
• Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products
• Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
• Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
• Define technical direction and mentor engineers on ML productization best practices
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, 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 such as gesture recognition, pose estimation, or object tracking
• Experience with model optimization for edge/on-device deployment
• Track record of cross-functional collaboration to deliver ML-powered features
Preferred Qualifications
• Experience deploying ML models on edge devices
• Experience with gesture recognition, hand tracking, or human pose estimation
• Background in real-time inference, model compression, or quantization techniques
• 5+ years of industry experience in machine learning or computer vision
• MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
• Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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