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New Grad Network Engineer Jobs (NOW HIRING)

City of New York

NETWORK ENGINEER

Brooklyn, NY · On-site

$100K - $125K/yr

HRA is dedicated to fighting poverty and income inequality by providing New Yorkers in need with ... as Network Engineers, who will; - Perform highly complex technical work in the design ...

SA Technologies Inc.

Network Engineer

Kansas City, KS · On-site

Network Engineer II ( Citizen/GC only) Location: Kansas City, KS Duration: 6+ months Rate : DOE ... Implements new approaches and shares technical improvements to the Network Manager. Displays ...

Next Step Systems

Network Engineer

Marietta, GA · On-site

Network Engineer, Marietta, GA The Network Engineer is responsible for supporting customers on the ... new customer onboarding. Qualifications: - Bachelor's degree in Information Systems, Computer ...

The AES Group

Network Engineer

San Diego, CA · On-site

You'll partner with engineering and infrastructure teams to deploy new network capabilities, improve automation and visibility, and ensure service performance and resiliency at scale. This position ...

City of New York

NETWORK ENGINEER

Brooklyn, NY

HRA is dedicated to fighting poverty and income inequality by providing New Yorkers in need with ... as Network Engineers, who will; - Perform highly complex technical work in the design ...

iNovex Information Systems

Network Engineer

Columbia, MD · On-site

$131K - $281K/yr

... meet new partner requirements. o Manage assigned tasks and provide guidance to junior Network Engineers. o Integrate hardware and software to satisfy ISO 9000 requirements and other DoD/IC ...

City of New York

NETWORK ENGINEER

Brooklyn, NY · On-site

HRA is dedicated to fighting poverty and income inequality by providing New Yorkers in need with ... as Network Engineers, who will; - Perform highly complex technical work in the design ...

nLeague Services Inc

Network Engineer

Atlanta, GA · On-site

Job ID: 65183 Network Engineer Location: Atlanta, GA Duration: 5+ Months (Possibility of Extensions ... Evaluate new technologies and propose improvements to network performance and security * Provide ...

FastTek

Network Engineer

Louisville, KY · On-site

New Model Launch Network Coordination Engineer Our Network Services organization is seeking an engineer to work as a New Model Launch Network Coordination Engineer for the large-scale Manufacturing ...

Hansen Talent Group

Network Engineer

Columbia, SC · On-site

The Network Engineer will be responsible for assisting in developing and designing network and ... Support the build and deployment of new infrastructure, server integrations, automation, and SDN ...

AITHERAS, LLC

Network Engineer

Manhattan, NY · On-site

$120K - $130K/yr

New York City, NY Clearance or Background Needs Experience 5+ years of network engineering experience Compensation: Up to $130,000 Summary The Network Engineer will support the design, configuration ...

Synovize

Network Engineer

Sioux Falls, SD · On-site

$70 - $95/hr

Job Title: Network Engineer Rate: $70-$95/hr Tax Terms: C2C/1099 Contract Contract Length: 12 ... Design and implement new network solutions and improve efficiency of current networks * Install ...

F5, Inc.

Network Engineer

Reston, VA · On-site

Test new network OS versions, automation logic, routing changes, and security controls in controlled environments prior to production and FedRAMP deployment. * Partner with Build, Engineering ...

Next Step Systems

Network Engineer

Boca Raton, FL · On-site

Network Engineer, Boca Raton, FL We are looking for a Network Engineer. The Network Engineer should ... support new systems and applications. - Knowledge of Cisco Voice a plus, but not required ...

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Showing results 21-40

All JobsNew Grad Network Engineer Jobs

New Grad Network Engineer information

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$31K

$109K

$158K

How much do new grad network engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for new grad network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What are some common challenges new grad network engineers face when transitioning from academic projects to real-world network environments?

New grad network engineers often find the transition to professional settings challenging due to the complexity and scale of enterprise networks compared to academic lab environments. Real-world networks involve working with legacy systems, adhering to strict security protocols, and troubleshooting issues that may not have clear documentation. Additionally, new grads must quickly adapt to working collaboratively with cross-functional teams, such as security analysts and systems administrators, while managing multiple priorities and responding to unexpected network incidents. However, these challenges offer valuable learning opportunities and pave the way for rapid skill development.

What is the difference between New Grad Network Engineer vs Network Technician?

AspectNew Grad Network EngineerNetwork Technician
Required CredentialsBachelor's degree in Computer Science or related field; certifications like Cisco CCNAHigh school diploma or associate degree; certifications like CompTIA Network+
Work EnvironmentDesign, implement, and troubleshoot network systems; often in office or data center settingsInstall, maintain, and repair network hardware; on-site or fieldwork
Employer & Industry UsageIT firms, telecom companies, large corporationsTelecom providers, IT support companies, small businesses

While both roles involve networking skills, a New Grad Network Engineer focuses on designing and planning networks, often requiring a degree and certifications. In contrast, a Network Technician primarily handles installation and maintenance tasks, typically with less formal education. Understanding these differences helps new professionals choose the right career path in the networking industry.

What does a new grad network engineer do?

A New Grad Network Engineer is an entry-level professional responsible for helping design, implement, maintain, and troubleshoot computer networks for organizations. They typically work under the supervision of more experienced engineers to ensure network reliability, security, and performance. Their tasks may include configuring routers and switches, monitoring network activity, assisting with network upgrades, and resolving connectivity issues. New Grad Network Engineers often work with IT teams to support daily network operations and may also help document network configurations and procedures.

What are the key skills and qualifications needed to thrive as a new grad network engineer, and why are they important?

To thrive as a New Grad Network Engineer, you need a solid understanding of networking fundamentals, protocols (such as TCP/IP), and a relevant degree in computer science or a related field. Familiarity with network hardware, configuration tools, and certifications like Cisco's CCNA are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication set standout candidates apart. These skills and qualities are essential for ensuring reliable network performance, troubleshooting issues efficiently, and collaborating within IT teams.
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New Grad Network Engineer jobs near you
Infographic showing various New Grad Network Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

Software Engineer, New Grad

Eventual Computing

San Francisco, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

About Eventual
Every breakthrough Physical AI system - humanoid robots, autonomous vehicles, video generation models - is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI. As a result, robotics and video-AI teams iterate on model improvement about once a week. Most of that week isn't training - it's finding the right data: writing CV heuristics over raw footage, paying annotators for edge cases, hand-curating clips before a cluster ever spins up. GPU bandwidth has grown 2-3× per generation. Storage and pipelines haven't. The gap widens every year.
Eventual was founded in 2022 to close it. Our open-source engine, Daft, is the distributed data engine purpose-built for multimodal AI - already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens. We are building a video-native index on top of our engine for Physical AI that collapses the data iteration loop. Describe the dataset you want, get a curated table in minutes, feed it to your GPUs at line rate. One iteration per day becomes the norm.
We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today. We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and angels from the co-founders of Databricks and Perplexity. We've assembled a world-class team from AWS, Render, Pinecone and Tesla. We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
Your Role
If you're a new grad and the thought of spending the next two years bolting another LLM into another wrapper makes you tired, read on.
We build real systems. We move petabytes of video through GPU clusters. We profile flamegraphs. We argue about io_uring and Parquet footers. We write Rust and Python. We talk to robotics researchers at the world's top labs about what's actually broken in their training loop, and then we go fix it. The work is hard, the feedback loops are tight, and the impact lands in customer training runs the same week you ship.
As a new grad on our team, you'll work shoulder-to-shoulder with senior engineers on the layers that matter - Daft's distributed query engine, our video-native dataloader, the storage and indexing layer, the visual understanding pipeline, or the product surface researchers actually use. You'll be given real ownership early. You'll get mentorship from engineers who've spent careers on systems at AWS, Tesla, Pinecone, and Render. You'll ship code that runs on the most expensive GPU clusters on the planet.
We're looking for the kind of new grad who built something obsessive in undergrad - a database, a game engine, a kernel hack, a custom decoder, a research project that wouldn't quit - not because it was assigned, but because they couldn't stop thinking about it.
Key Responsibilities
  • Contribute to features across Eventual's stack: the open-source Daft query engine, the dataloading layer, the storage and indexing layer, or the visual understanding pipeline.
  • Profile, benchmark, and optimize real systems on real workloads - petabytes of customer video on real GPU clusters.
  • Write clean, maintainable Python and Rust. Read papers, prototype, ship to production.
  • Pair with senior engineers who'll teach you systems work the right way - and trust you with real ownership early.
  • Sit in on customer calls with researchers at top Physical AI labs. The shortest path from "researcher mentions a pain" to "engineer ships a fix" is the path we want you on.

What we look for
  • Within ~1 year of graduating, or recently graduated.
  • Strong programming fundamentals in Python, Rust, C++, or Go. Bonus points if you've reached for the lower-level languages because the problem demanded it.
  • A real love for systems, distributed systems, databases, or data infrastructure - the kind of love that shows up in side projects, course projects you took further than required, or open-source contributions.
  • Hungry. Curious. Willing to read papers, dig into a profiler, and stick with a hard problem until it gives.
  • Excited to work in person, in a small team, in an SF office, 4 days a week.

Nice to have
  • Built something obsessive in undergrad: a database, a query engine, a compiler, a custom decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project.
  • Open-source contributions, especially to systems projects.
  • Internship experience at a systems-heavy team - databases, ML infrastructure, GPU/HPC, storage, networking.
  • Familiarity with cloud technologies (AWS, GCP, Azure).
  • Background in computer architecture, OS, compilers, or distributed systems.

Perks & Benefits
  • In-person, tight-knit team - 4 days/week in our SF Mission office.
  • Competitive comp and meaningful startup equity.
  • Catered lunches and dinners for SF employees.
  • Commuter benefit.
  • Team-building events and poker nights.
  • Health, vision, and dental coverage.
  • Flexible PTO.
  • Latest Apple equipment.
  • 401(k) plan with match.

If you're tired of vibe-coding wrappers and ready to get cracked on systems that move petabytes of video through the most expensive GPU clusters on the planet, we'd love to talk.

Apply