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

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ...

New

MatX

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

MatX is seeking a Physical Design CAD Engineer to join our team as we create best-in-class silicon ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and ...

New

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

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Remote Computer Engineer information

See San Jose, CA salary details

$56.8K

$142.4K

$161.1K

How much do remote computer engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote 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 are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a remote computer engineer?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What are the key skills and qualifications needed to thrive in the remote computer engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

Can you work remotely as a computer engineer?

Yes, many computer engineering roles can be performed remotely, especially those focused on software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.
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 are popular job titles related to Remote Computer Engineer jobs in San Jose, CA? For Remote Computer Engineer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineer jobs in San Jose, CA look for? The top searched job categories for Remote Computer Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Computer Engineer jobs? Cities near San Jose, CA with the most Remote Computer Engineer job openings:
Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in San Jose, CA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,415 per year, or $68.5 per hour.

Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

New

Job description

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT
Who we are
The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires-with longer fire seasons, drier fuels, and more extreme weather-new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.
About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.
Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 and one of the World's Most Innovative Companies in 2026, ranking #1 in Sustainability. We have also been named to TIME's list of the 100 Most Influential Companies of 2025 and recognized by MIT Technology Review as one of the top climate technology companies to watch.
Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai.
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, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on experience across modern computer vision, edge AI, embedded systems, and real-world AI deployment.
Beyond wildfire detection, you will contribute to a variety of computer vision projects, including vegetation detection, asset recognition, instance segmentation, scene understanding, and spatial reasoning. We value curiosity, adaptability, and a willingness to learn new technologies and tackle diverse technical challenges as our products evolve.
This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor.
What you'll do
  • Assist in developing computer vision models for:
    • Wildfire smoke detection
    • Vegetation detection and classification
    • Asset detection and recognition
    • Instance and semantic segmentation
    • Scene understanding and spatial reasoning
  • Help implement and maintain machine learning and computer vision pipelines.
  • Assist with deploying and optimizing AI models on NVIDIA Jetson and other edge platforms.
  • Support model optimization efforts, including TensorRT conversion, quantization, and inference acceleration.
  • Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
  • Conduct experiments, analyze model performance, and present findings to the team.
  • Debug inference, deployment, networking, and hardware integration issues.
  • Contribute to continuous learning, model evaluation, and data quality improvement workflows.
  • Collaborate closely with AI researchers, software engineers, hardware engineers, and product teams.
  • Document experiments, engineering decisions, and best practices.
  • Take on a variety of technical challenges as needed and continuously expand your skills across computer vision and cloud/edge AI.

What you'll bring
Required
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
  • 1-3 years of experience (including internships or research) in software engineering, machine learning, or computer vision.
  • Experience with Python and deep learning frameworks such as PyTorch.
  • Understanding of machine learning fundamentals and modern computer vision techniques.
  • Familiarity with Linux development environments.
  • Strong problem-solving skills, curiosity, and a desire to learn.
  • Excellent communication and teamwork skills.

Preferred
  • Experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, or embedded AI platforms.
  • Experience with OpenCV.
  • Experience with one or more of the following:
    • Object detection
    • Instance or semantic segmentation
    • Image classification
    • Multi-object tracking
    • Video understanding
  • Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
  • Experience with cloud platforms, MLOps, or CI/CD workflows.
  • Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.

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