NVIDIA Corporation

Senior Software Engineer - Cluster Networking

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Computer Science, Electrical Engineering or related field, or equivalent experience
  • 6+ years of experience in systems, network or infrastructure software engineering
  • Expertise in Kubernetes networking architecture and CNI standards, production experience with Calico preferred
  • Proficient in modern mesh and VPN networking topologies such as Tailscale and WireGuard
  • Strong fundamentals in Linux networking including routing and netfilter
  • Ability to debug distributed networking at scale using packet capture and tracing
  • Proficiency in programming languages such as Go, Python, or C

Responsibilities

  • Own and evolve Kubernetes networking architecture for large GPU clusters
  • Design and scale overlay networks including CNI and mesh topologies
  • Operate and maintain load balancers and gateways for data planes
  • Identify and eliminate bottlenecks like packet loss and saturation
  • Create scale-test environments to preempt networking regressions
  • Diagnose complex network issues impacting performance
  • Collaborate with cloud and neocloud providers on network setups
  • Provide technical leadership in Cluster Networking domain to the team

Benefits

  • Equity options in the company
  • Comprehensive health care package
  • Generous paid time off policy
  • Flexible work arrangements to support work-life balance
  • Professional development opportunities with training and certifications
Full Job Description
We are looking for a senior networking engineer to lead the network architecture of our GPU superclusters. Our platform runs frontier model training across tens of thousands of GPUs on multiple clouds, and we are scaling it toward clusters of ten thousand nodes and beyond. At that size, networking stops being a configuration exercise and becomes the hardest engineering problem on the platform - and it is currently one of the areas where we most need depth. What you'll be doing: You will be the technical owner of how our clusters communicate internally and externally. This includes the CNI data plane, the overlay mesh, and the nodes connecting clusters across regions and providers.
  • Own and evolve the Kubernetes networking architecture for GPU clusters running at multi-thousand-node scale
  • Design, operate and scale the overlay network - CNI, mesh and VPN topologies (Tailscale, WireGuard), and the gateways that connect control and data planes
  • Design, operate and scale the L7 gateways/load balancers/tunnels (Envoy, Cloudflare)
  • Find and eliminate scale ceilings: packet loss under load, control-plane saturation, IP address management exhaustion, and the failure modes that only appear above a few thousand nodes
  • Build the scale-test environments and validation suites that let us catch networking regressions before they reach production, rather than during a training run
  • Diagnose hard, ambiguous problems across the stack - where a symptom in Slurm or a training job traces back to a mark collision, a stale route, or a saturated tunnel
  • Partner with cloud and neocloud providers on network topology, requirements and capabilities as we bring up new clusters
  • Provide senior technical judgement to a distributed team, and depth in the Custer Networking domain.
What we need to see:
  • BS/MS in Computer Science, Electrical Engineering or a related field, or equivalent experience
  • 6+ years of professional experience in systems, network or infrastructure software engineering
  • Deep command of Kubernetes networking architecture and CNI standards, with production experience operating Calico strongly preferred
  • Proficiency designing and maintaining modern mesh and VPN networking topologies - Tailscale, WireGuard or equivalent
  • Strong Linux networking fundamentals: routing, netfilter and iptables/nftables, packet marking, network namespaces, and how these interact with container runtimes
  • Demonstrated ability to debug distributed network problems at scale - packet capture, tracing, and correlating behaviour across many hosts to find a single root cause
  • Proficiency in Go, Python, C or a comparable systems language
  • Clear written and verbal communication, and the ability to work effectively with engineers across multiple time zones
Ways to stand out from the crowd:
  • Direct experience architecting and operating massive-scale Kubernetes topologies across thousands of concurrent nodes
  • Experience with high-performance fabrics in AI or HPC environments - InfiniBand, RoCE, or RDMA over converged networks
  • Upstream contributions to Calico, Cilium, Tailscale, or Kubernetes networking SIGs
  • Experience operating networking across multiple public clouds and on-premises environments simultaneously
  • Familiarity with Slurm or other HPC schedulers running on Kubernetes
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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