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60 Nvidia Networking Jobs Hiring Near You

NVIDIA

Solutions Architect, HPC Systems Engineer

$248K/yr

NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect to join their team focused on supporting accelerated computing applications. The role involves driving ...

Nvidia

OR · On-site

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for a dynamic business leader to manage NVIDIA's growth in host networking products ...

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA · On-site

$139K - $183K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a technical leader, you will lead the transformation of AI networking systems. You will apply ...

Nvidia

Senior Solutions Architect

Seattle, WA · On-site

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to ...

Nvidia

Senior Solutions Architect

Santa Clara, CA · On-site

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to ...

Nvidia

Senior Software Engineer, AI Networking

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a technical leader, you will lead the transformation of AI networking systems. You will apply ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

What makes Nvidia an attractive place to work?

Nvidia is a leading technology company in the field of artificial intelligence, graphics processing units, and high-performance computing, with a strong reputation for innovation and industry leadership. The company's workplace culture values collaboration, creativity, and innovation, with opportunities for employees to work on cutting-edge projects and contribute to the development of groundbreaking technologies. Joining Nvidia offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for growth, professional development, and making a meaningful impact in the tech industry.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
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Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
100% of people report that they get to take their breaks without interruption.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Is it stressful to work at Nvidia?

Some people feel stressed out here.
40% of people say they often feel stressed out at work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people at Nvidia recommend working with their team?

Only some people recommend working with their team.
40% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 100% of people report being given support to advance their career here.
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Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
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    Infographic showing various Networking job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% Hybrid, and 2% Remote job distribution.
    Senior Software Architect, AI Systems and Networking

    Senior Software Architect, AI Systems and Networking

    Nvidia

    Austin, TX • On-site

    $128K - $174K/yr

    Full-time

    Posted 24 days ago

    Nvidia rating

    9.3

    Company rating: 9.3 out of 10

    Based on 5 frontline employees who took The Breakroom Quiz

    15th of 209 rated software companies

    Job description

    An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands-spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects.

    The Senior Architect role is to own modules and projects end-to-end-from scoping research questions to shipping production code. It calls for a recognized expert who drives technical decisions, pulls in ideas from research and industry, and regularly prototypes new approaches to prove a point. The work lives at the boundary of applied research and production engineering!

    What you will be doing:

    • Architecting and implementing high-performance communication and memory management libraries for distributed AI

    • Driving hardware-software co-optimization with GPU, DPU, NIC, and switch teams through GPUDirect RDMA, NVLink, and next-generation interconnects

    • Profiling and optimizing data movement across GPU memory, system DRAM, NVMe, and network fabrics

    • Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM

    • Contributing to and maintaining open-source projects, mentoring engineers, conducting design reviews, and prototyping experimental technologies to evaluate their viability

    What we need to see:

    • 12+ years in systems software and/or networking with demonstrated ownership of complex projects.

    • MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

    • Solid understanding of high-performance networking: InfiniBand, RoCE, RDMA, NVLink, GPUDirect.

    • Strong C/C++/Rust systems programming with comfort in performance profiling and low-level debugging.

    • Understanding of ML systems concepts-transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.

    Ways to stand out from the crowd:

    • Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.

    • Knowledge of storage networking (NVMe-oF, GPUDirect Storage, S3).

    • Background of Reinforcement Learning systems.

    With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forwardthinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building largescale, highimpact data platforms, we'd love to hear from you.

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until May 23, 2026.

    This posting is for an existing vacancy.

    NVIDIA uses AI tools in its recruiting processes.

    NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

    What Nvidia employees say

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

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    About Nvidia

    Sourced by ZipRecruiter

    NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

    Industry

    Computer and electronic product manufacturing

    Company size

    10,000+ Employees

    Headquarters location

    Santa Clara, CA, US

    Year founded

    1993

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