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Remote Computer Networking Intern Jobs in Santa Clara, CA

Inficare Technologies

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations ... in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent ...

Nvidia

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is looking for an experienced Senior Software and System Architect to join our Networking ...

EPSoft Technologies

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Sunnyvale, CA (Remote) - Look for nearby location candidates those candidates will be given first ... Bachelor's Degree in Computer Science or related field and 5+ years of experience building scalable ...

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All JobsComputer Networking Intern JobsRemote Computer Networking Intern JobsRemote Computer Networking Intern Jobs in Santa Clara, CA

Remote Computer Networking Intern information

See Santa Clara, CA salary details

$10

$20

$28

How much do remote computer networking intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote computer networking intern in Santa Clara, CA is $20.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 per hour, depending on experience, location, and employer.

What does a remote computer networking intern do?

A Remote Computer Networking Intern assists IT teams by supporting the design, implementation, and maintenance of computer networks from a remote location. They may help troubleshoot network issues, configure hardware and software, monitor network performance, and document technical processes. Interns often learn about network security, protocols, and remote management tools while gaining hands-on experience in a professional environment. This role is ideal for students or recent graduates seeking practical exposure to networking concepts without needing to be physically present in an office.

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

To thrive as a Remote Computer Networking Intern, you need foundational knowledge of networking concepts, protocols (like TCP/IP), and relevant coursework or a degree in computer science or IT. Familiarity with networking tools such as Wireshark, Cisco Packet Tracer, and basic command-line interfaces, along with certifications like CompTIA Network+ or Cisco CCNA, are typically beneficial. Strong problem-solving abilities, effective communication, and self-motivation help you stand out in a remote setting. These skills ensure you can troubleshoot issues independently, collaborate virtually, and adapt to the fast-paced nature of networking environments.

What types of projects and collaboration can I expect as a remote computer networking intern?

As a Remote Computer Networking Intern, you'll typically work on projects such as configuring virtual networks, troubleshooting connectivity issues, or assisting with network automation scripts. Collaboration often occurs through video calls, chat platforms, and shared documentation with network engineers and IT team members. You'll likely participate in regular team meetings, contribute to group problem-solving, and may be paired with a mentor for guidance. This environment helps build both your technical skills and your ability to communicate effectively in a distributed team setting.

What is the difference between Remote Computer Networking Intern vs Remote Network Support Technician?

AspectRemote Computer Networking InternRemote Network Support Technician
CredentialsBasic networking knowledge, possibly pursuing related certificationsCertifications like CompTIA Network+ or Cisco CCNA often preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksSupport-focused role, troubleshooting, maintaining networks remotely
Employer & IndustryIT departments, tech companies, educational institutionsManaged service providers, corporate IT teams, telecom companies
Search & Comparison IntentLearning, entry-level opportunities, internshipsSupport roles, troubleshooting, network maintenance

The Remote Computer Networking Intern typically focuses on gaining foundational knowledge through an internship, assisting with basic network tasks. In contrast, the Remote Network Support Technician handles more advanced troubleshooting and maintenance tasks remotely, often requiring relevant certifications. Both roles are essential in the IT industry but differ in experience level and responsibilities.

What are popular job titles related to Remote Computer Networking Intern jobs in Santa Clara, CA?

For Remote Computer Networking Intern jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Networking Intern jobs in Santa Clara, CA look for?

The top searched job categories for Remote Computer Networking Intern jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Computer Networking Intern jobs?

Cities near Santa Clara, CA with the most Remote Computer Networking Intern job openings:

Remote Computer Networking Intern jobs near you
Infographic showing various Remote Computer Networking Intern job openings in Santa Clara, CA as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $41,617 per year, or $20 per hour.

GPU Solution Architect

Inficare Technologies

Santa Clara, CA • On-site, Remote

$74 - $97.50/hr

Contractor

Posted 7 days ago

Job description

Job Title: GPU Solution Architect
Location: Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations available in WA, OR, and TX)
Job Type: Contract
Duration: 12 Months
Experience: 8+ years
Job Overview
Our client is seeking a hands-on Senior GPU Solutions Architect to elevate Day 2 operations across their Cloud Partner ecosystem. In this role, you will work directly alongside partner engineers operating AI clouds at scale - solving real performance, reliability, and economics challenges once a cluster is installed and validated. This is a highly technical, hands-on role focused on measurable outcomes, not outsourced support.
Key Responsibilities
  • Diagnose and resolve hard Day 2 operations problems at scale alongside partner engineering teams
  • Help partners prepare operating models for new platforms, capacity, and services before customer adoption
  • Improve reliability, performance, and cost efficiency using metrics such as incident frequency, recovery time, utilization, and cost per token
  • Assess and improve partner Day 2 maturity across people, process, tooling, telemetry, security, and incident response
  • Convert validated solutions into operating procedures, reference architectures, automation scripts, and agentic workflows reusable across the partner ecosystem
Required Skills
  • 8+ years in production infrastructure, cloud engineering, solutions architecture, SRE, or HPC; or 5+ years of specialist-level work in large-scale GPU or AI infrastructure
  • Hands-on experience building, operating, or improving distributed infrastructure under real production load
  • Deep expertise in at least one Day 2 stack area: GPU monitoring (DCGM), BMC/Redfish, firmware/driver lifecycle; InfiniBand, NCCL, UFM; or high-performance storage (Lustre, IBM Storage Scale, WEKA, VAST Data)
  • Proficiency across Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry
  • Automation experience with Terraform, Ansible, Argo CD, or similar tooling
  • Strong Linux knowledge; Python, Bash, or equivalent scripting for measurement, diagnosis, and remediation
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience
Preferred Skills
  • Real-world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load
  • Built or matured a 24/7 operations function including observability, incident management, and on-call design
  • Hands-on experience with rack-scale platforms such as GB200 or GB300, Spectrum-X, UFM, Base Command Manager, Mission Control, GPU Operator, or Network Operator
  • Demonstrated improvement in fleet health or unit economics through benchmarking, IaC, GitOps, or agent-based remediation
Location & Work Model
Remote preferred with proximity to Santa Clara, CA. Additional remote locations accepted in WA, OR, and TX. Occasional onsite visits to the client's Santa Clara office may be required.
Engagement Details
12-month contract engagement. 3 open positions. 4-round interview process.

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