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Remote Computer Programming Jobs in San Francisco, CA

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

  • Medical

  • Retirement

  • PTO

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Strong Python and C++ programming skills. Preferred * Experience with outdoor vision systems ...

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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All JobsComputer Programming JobsRemote Computer Programming JobsRemote Computer Programming Jobs in San Francisco, CA

Remote Computer Programming information

See San Francisco, CA salary details

$38.9K

$76.6K

$112.5K

How much do remote computer programming jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote computer programming in San Francisco, CA is $76,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $94,300.00 per year, depending on experience, location, and employer.

What is remote computer programming?

Remote computer programming involves writing, testing, and maintaining software code from a location outside of a traditional office, typically from home or another remote setting. Programmers collaborate with teams using digital tools, version control systems, and communication platforms to build software solutions. This arrangement offers flexibility, but also requires strong communication skills, self-discipline, and familiarity with remote work technologies. Many companies offer remote computer programming positions to access a global talent pool and provide employees with a better work-life balance.

What is the difference between Remote Computer Programming vs Remote Software Development?

AspectRemote Computer ProgrammingRemote Software Development
Required CredentialsTypically requires programming certifications or degrees in computer scienceOften requires similar credentials, with additional experience in software design and architecture
Work EnvironmentPrimarily focused on writing, testing, and debugging codeIncludes coding but also involves planning, designing, and managing software projects
Employer & Industry UsageUsed across tech companies, startups, and freelance platformsCommon in software firms, tech departments, and development agencies
Search & Comparison IntentPeople compare to understand coding roles and skillsPeople compare to grasp broader software project responsibilities

Remote Computer Programming involves writing and testing code, while Remote Software Development encompasses coding along with designing and managing entire software projects. Both roles share similar credentials and work environments but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a remote computer programmer?

To thrive as a Remote Computer Programmer, you need strong proficiency in programming languages (such as Python, Java, or JavaScript), problem-solving abilities, and a relevant degree or coding certifications. Familiarity with version control systems (like Git), cloud platforms, and collaboration tools (such as Slack or Jira) is typically required. Excellent communication, self-motivation, and time management skills are crucial for remote collaboration and productivity. These skills and qualities ensure efficient code delivery, effective teamwork, and the ability to meet project goals independently in a remote setting.

What are some common challenges faced by remote computer programmers and how can they be addressed?

Remote computer programmers often encounter challenges related to communication, collaboration, and time management. Without in-person interactions, it can be harder to clarify requirements, coordinate with team members, or stay informed about project updates. To address these challenges, successful remote programmers proactively use collaboration tools, attend regular virtual meetings, and maintain clear, written documentation. Building strong communication habits and setting structured work schedules also help maintain productivity and foster effective teamwork.

What are the most commonly searched types of Computer Programming jobs in San Francisco, CA?

The most popular types of Computer Programming jobs in San Francisco, CA are:

What are popular job titles related to Remote Computer Programming jobs in San Francisco, CA?

For Remote Computer Programming jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Programming jobs in San Francisco, CA look for?

The top searched job categories for Remote Computer Programming jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Computer Programming jobs?

Cities near San Francisco, CA with the most Remote Computer Programming job openings:

Remote Computer Programming jobs near you
Infographic showing various Remote Computer Programming job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $76,551 per year, or $36.8 per hour.

Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

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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