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60 Nvidia Networking Jobs Hiring Near You

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 ...

Nvidia

Senior Software Engineer, AI Networking

Austin, TX

$121K - $160K/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 Software Engineer, AI Networking

Austin, TX · On-site

$121K - $160K/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 are the most popular job types at Nvidia?
    What are the most popular jobs at Nvidia?
    What are the most popular categories at Nvidia?
    Infographic showing various Networking job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
    Principal Software Engineer - Networking Hyperscale Engineering

    Principal Software Engineer - Networking Hyperscale Engineering

    Nvidia Corporation

    Seattle, WA • On-site

    $153K - $206K/yr

    Full-time

    Posted 13 days ago

    Job description

    NVIDIA is looking for an experienced Principal Software Engineer to expand the US-based Networking Hyperscale Engineering Team. Are you craving an opportunity to work directly with top-tier cloud and AI customers, co-develop software that powers their AI superclusters, and influence NVIDIA's NIC software roadmap? In this role you will do just that for NVIDIA's high-performance networking stack spanning Linux kernel, RDMA/RoCE, DPDK, DOCA, NCCL, and NIC firmware.
    You will be among the first to design and optimize the NIC and communication paths for our next-generation GPU and NIC platforms and help define their role in the modern AI data center. You'll work closely with some of the best SDK, driver, firmware, and GPU/NIC architects in the industry, as well as domain experts in large-scale training, collectives, and systems performance.
    What you'll be doing:
    • Co-developing NIC software and communication paths with strategic, top-tier customers to enable and scale large AI superclusters.
    • Designing and implementing high-performance C/C++ components on Linux using DPDK, kernel-bypass techniques, and RDMA/RoCE.
    • Developing and integrating kernel, driver, and NIC firmware features to improve throughput, latency, and reliability for AI workloads.
    • Working closely with NCCL and distributed training teams to tune end-to-end collectives performance over NVIDIA networking at scale.
    • Owning complex performance and functionality debug with customers and representing the team in cross-org architecture discussions.

    What we need to see:
    • 15+ years overall experience in a similar or related systems / networking software role.
    • A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
    • Deep C/C++ expertise, strong Linux systems knowledge, and hands-on experience with kernel networking / RDMA / NIC drivers or DPDK.
    • Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN).
    • Practical experience with DOCA, NIC firmware interfaces, or other hardware-accelerated networking stacks for large-scale systems.
    • Excellent communication skills and a track record of effective collaboration with developers, partners, and customers in dynamic environments.

    Ways to stand out from the crowd:
    • Deep knowledge of Linux kernel / systems internals, SoC / SmartNIC / NIC embedded systems, and data center switches and NOS.
    • Hands-on experience with RDMA/RoCE, GPU-related networking (for example GPUDirect RDMA), and high-performance, low-latency data paths.
    • Background optimizing NCCL or other distributed training stacks on large GPU clusters for throughput and tail latency.
    • Experience working with hyperscalers or major cloud providers on strategic, performance-critical AI networking deployments.
    • Contributions to open-source networking, RDMA, DPDK, kernel, CUDA/NCCL, or related ecosystems.

    With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want 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 248,000 USD - 391,000 USD.
    You will also be eligible for equity and benefits.
    Applications for this job will be accepted at least until May 19, 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.
    Nvidia logo

    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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