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Computer Programmer Internship Jobs in Benicia, CA

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

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 ...

New

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

A note before you apply We're hiring Software Engineering Interns! This is a full-time salaried 12 ... A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ...

Retell AI

Software Engineer (New Grad)

San Francisco, CA · On-site

$83K - $104K/yr

Have already graduated with a degree in Computer Science, Computer Engineering, or Electrical Engineering. * Have 2+ internships where you built real software. * Enjoy building from scratch instead ...

New

Phonely Ltd

Software Engineer Intern

San Francisco, CA · On-site

Software Engineer Internship This is a high-impact internship where you'll write real code, ship ... Currently pursuing or recently completed a degree in Computer Science or related field * Experience ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Collaborate with senior engineers to improve the reliability, performance, and scalability of our ... projects, internships, or research in one or more of the following: computer vision, machine ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Collaborate with senior engineers to improve the reliability, performance, and scalability of our ... projects, internships, or research in one or more of the following: computer vision, machine ...

SightCall

INTERNSHIP - Web Developer

San Francisco, CA · On-site

Company Description SightCall's Video Platform as a Service (PaaS) provides developers the APIs and ... Qualifications Current enrollment or Bachelor's Degree in Computer Sciences, Web or Graphic Design ...

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All JobsComputer Programmer JobsComputer Programmer Internship JobsComputer Programmer Internship Jobs in Benicia, CA

Computer Programmer Internship information

See Benicia, CA salary details

$38.5K

$75.7K

$111.3K

How much do computer programmer internship jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer programmer internship in Benicia, CA is $75,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $93,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer programmer intern, and why are they important?

To land an internship in software development, an aptitude for computer science and a track record of success in your academic program are key. However, aside from relevant knowledge, the ability to take initiative and a willingness to pitch in wherever you are needed are probably your two most important qualifications. Companies appreciate interns who can think on their feet and follow through on assignments with minimal supervision, so be sure your resume or internship application highlight projects you complete in the course of your studies as well as any leadership roles you undertake at your university or with extracurricular groups.

What is a computer programmer internship?

Computer programmer internships are temporary, entry-level positions designed to give students or recent graduates hands-on experience in software development. Interns work under the guidance of experienced programmers, assisting with coding, testing, debugging, and maintaining software applications. These internships help individuals gain practical skills, build their professional networks, and improve their chances of securing a full-time programming job after graduation.

What is the difference between Computer Programmer Internship vs Software Developer Internship?

AspectComputer Programmer InternshipSoftware Developer Internship
Required CredentialsTypically pursuing or recent graduate in Computer Science or related fieldSimilar; often pursuing or recent graduate in Computer Science, Software Engineering, or related
Work EnvironmentTech companies, startups, or IT departments; focus on coding and debuggingTech firms, startups, or software companies; involved in designing and developing applications
Employer & Industry UsageCommon in IT and software industries; internships for entry-level coding rolesCommon in software development firms; internships for building software products

Both internships target students or recent graduates with similar educational backgrounds and work environments. The main difference lies in focus: Computer Programmer Internships emphasize coding, debugging, and maintaining existing software, while Software Developer Internships involve designing, developing, and deploying new software solutions.

More about Computer Programmer Internship jobs
What cities near Benicia, CA are hiring for Computer Programmer Internship jobs? Cities near Benicia, CA with the most Computer Programmer Internship job openings:
Computer Programmer Internship jobs near you
Infographic showing various Computer Programmer Internship job openings in Benicia, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,711 per year, or $36.4 per hour.

Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

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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