1

Home Based Computer Engineer Jobs in San Jose, CA

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

... based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking ... Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ...

Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning ... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy ...

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring. In this role ...

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

This role must be based onsite in the United States. Visa sponsorship is not available for this ... Design and implement deep-learning and classical computer vision algorithms for real-time, embedded ...

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Archer is an aerospace company based in San Jose, California building an all-electric vertical ... Design and implement deep-learning and classical computer vision algorithms for real-time, embedded ...

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Hands-on experience running GPU-based workloads in a batch computing environment and a deep ...

next page

Showing results 1-20

Home Based Computer Engineer information

See San Jose, CA salary details

$56.8K

$142.4K

$161.1K

How much do home based computer engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for home based computer 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 the difference between Home Based Computer Engineer vs Computer Technician?

AspectHome Based Computer EngineerComputer Technician
CredentialsTypically requires a degree in computer engineering or related certificationsOften certified in specific hardware or software areas, such as CompTIA A+
Work EnvironmentPrimarily works remotely from home, providing technical solutions online or via remote accessWorks on-site or in repair shops, handling hardware repairs and troubleshooting
Employer & IndustryFreelance, consulting firms, or remote IT service providersIT service centers, retail electronics stores, or repair shops

While both roles involve technical skills related to computers, a Home Based Computer Engineer typically works remotely providing design, troubleshooting, and consulting services, whereas a Computer Technician usually performs hands-on hardware repairs and maintenance on-site or in repair facilities.

Can I work from home as a home based computer engineer?

Home based computer engineers can often work remotely, especially if their tasks involve troubleshooting, software development, or network support that can be performed using a computer and internet connection. Many employers offer remote positions, but some roles may require on-site visits or specialized equipment. Strong technical skills, certifications, and reliable internet are important for success in a home-based setting.

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

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

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

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

Computer Vision Engineer

Meta

Burlingame, CA • On-site

$183K - $257K/yr

Full-time

Re-posted 23 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th 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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom