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Computer Networking Internship Jobs in Bronx, NY

CertiK

Security Research Internship

New York, NY · Remote

$3.0K - $8.0K/mo

Review system implementation of sandbox, VM, network modules, and critical distributed system ... Pursuing Masters or PhD in Computer Science or Cybersecurity related field. * Experiences in ...

CertiK

Security Research Internship

New York, NY · On-site +1

$3.0K - $8.0K/mo

Review system implementation of sandbox, VM, network modules, and critical distributed system ... Pursuing Masters or PhD in Computer Science or Cybersecurity related field. * Experiences in ...

Molaprise

Internship Jobs

Manhattan, NY · Hybrid

$16.50 - $22/hr

... computer systems, networks, and software applications. * Monitor and analyze system performance ... Orientation and building network will be conducted Day 1 by our HR department. Expected start date ...

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How much do computer networking internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for computer networking internship in Bronx, NY is $18.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.05 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 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 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.

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Research Scientist, AI Networking (PhD)

Meta

New York, NY

$121K/yr

Full-time

Posted 27 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

In this role, you will be a member of the AI Networking Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team’s focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. We are seeking engineers to work on the space of GenAI/LLM scaling reliability and performance.
Research Scientist, AI Networking (PhD) Responsibilities:
  • Enabling reliable and highly scalable distributed ML training on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Specialized experience in one or more of the following machine learning/deep learning domains: High speed networking (RDMA), Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch)
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Knowledge of ML, deep learning and LLM
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
  • Experience in HPC and parallel computing
  • Knowledge of GPU architectures and CUDA programming
  • Experience with NCCL/RCCL/OneCCL and distributed GPU reliability/performance improvement on RoCE/Infiniband
  • Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
  • Experience working and communicating cross-functionally in a team environment
  • Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
  • Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$121,992/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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