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Computer Networking Internship Jobs in Concord, CA

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points ... internships or research) in software engineering, machine learning, or computer vision.

New

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

... computer networking, and IoT. Summary: We are a key research team within Dolby's Advanced ... Databricks We recognize that applying to internships can be a daunting process, especially if you ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

... computer networking, and IoT. Summary: We are a key research team within Dolby's Advanced ... Databricks We recognize that applying to internships can be a daunting process, especially if you ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

By pairing the two through the Clerkie network, these tools have become the go-to resource for ... A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ...

GovernmentJobs.com

Recreation Therapy Intern

San Ramon, CA · On-site

$16.75 - $21.75/hr

... * Assist interns to develop networking skills; * Provide the opportunity to gain hands on ... Modern office practices, methods, and computer equipment and applications, including word ...

City of San Ramon

Recreation Therapy Intern

San Ramon, CA

$16.75 - $21.75/hr

... interns to develop networking skills; Provide the opportunity to gain hands on experience in ... Modern office practices, methods, and computer equipment and applications, including word ...

SETUP & SUPPORT LLC.

IT Support Intern

Oakland, CA

$17.25 - $23/hr

With a Remote Support Center (RSC) and a Network Operations Center (NOC) located remotely in ... computer installs, application deployment and projects. Position Overview: We are seeking interns ...

Branchout

Brilliant Java Engineer

San Francisco, CA · On-site

$61 - $83.75/hr

COMPANYOVERVIEW BranchOut,is the largest professional networking service on Facebook ... 3 million jobs and20,000 internships. BranchOut is backed by Accel Partners, Norwest ...

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Computer Networking Internship information

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$10

$19

$28

How much do computer networking internship jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for computer networking internship in Concord, CA is $19.13, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.11 per hour, depending on experience, location, and employer.

What is a computer networking internship?

A Computer Networking Internship is a temporary position that provides hands-on experience in maintaining, troubleshooting, and configuring network systems. Interns often assist with network security, hardware setup, and software updates under the supervision of IT professionals. This role helps students or entry-level candidates gain practical knowledge of networking protocols, infrastructure, and troubleshooting techniques. It is an opportunity to develop technical skills, work with real-world networking environments, and prepare for a career in IT or network administration.

What are the key skills and qualifications needed to thrive in a computer networking internship, and why are they important?

To thrive as a Computer Networking Intern, you typically need a foundational understanding of networking concepts, protocols, and hardware, often gained through coursework in computer science or information technology. Familiarity with tools like Wireshark, basic command-line utilities, and certifications such as CompTIA Network+ can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help interns excel when troubleshooting and collaborating with IT teams. These abilities are crucial for successfully supporting network operations and gaining hands-on experience in a professional environment.

What kinds of projects or tasks do computer networking interns usually work on during their internship?

As a Computer Networking Intern, you may assist with setting up and configuring network equipment, monitoring and documenting network performance, and troubleshooting connectivity issues. Interns often support senior network engineers during upgrades or maintenance, and may help with implementing security measures or performing routine system checks. Many internships also include exposure to real-world projects, such as deploying new hardware or optimizing existing network infrastructure. This hands-on experience gives you valuable insight into daily operations and helps build skills for a future career in IT or network administration.

What are the most commonly searched types of Computer Networking jobs in Concord, CA? The most popular types of Computer Networking jobs in Concord, CA are:
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Computer Networking Internship jobs near you
Infographic showing various Computer Networking Internship job openings in Concord, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $39,792 per year, or $19.1 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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