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NVIDIA

Senior Switch Software Researcher

NVIDIA is hiring a Senior Switch Software Researcher. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Ethernet, Infiniband and Nvlink among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Research high-performance Ethernet networks and switch ASICs for large-scale AI and machine learning compute clusters at NVIDIA.

EthernetInfinibandNvlink
system-architecturenetworkingdistributed-computing

NVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.

We seek a highly motivated and experienced Researcher specializing in Ethernet Networks and Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent NVIDIA in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

  • Research switch-level capabilities to cluster-scale outcomes, including interactions with orchestration, job scheduling, collective communication patterns, and observability.

  • Explore hardware/software tradeoffs for high-radix Ethernet switches aimed at next-generation AI fabrics.

  • Investigate ML methods for traffic understanding, control-plane assistance, configuration optimization, and other high-leverage areas.

  • Build and implement Proof-of-Concepts (PoCs) using network/system simulations, performance models, and data-driven analyses to compare design alternatives to influence architecture decisions.

  • Continuously evaluate emerging protocols, software stacks, open-source initiatives, partner ecosystems, and academic work for alignment with the Ethernet switch roadmap.

  • Collaboration with architects across various fields, advanced development teams, and other researchers.

What we need to see:

  • M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering.

  • 12+ years of experience in system architecture, networking technologies, and embedded software, including 3+ years functioning as a Researcher in that fields.

  • Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features and protocols in data center.

  • Excellent understanding of large-scale network behavior, network simulation, and the effect of distributed computing workloads on the network.

  • Demonstrated ability to conduct deep research, prototype ideas, show their value on the path to new technologies, and produce innovative ideas and practical applications.

  • Clear verbal and written communication with the ability to build consensus within a large organization.

  • Possess problem-solving and critical thinking skills.

  • Ability to operate in a highly dynamic environment.

Ways to stand out of the crowd:

  • Practical research and innovations that relate to networking.

  • Knowledge in various Switch ASIC hardware and software abstraction.

  • Applying ML/AI methods to solve networking problems.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

We are committed to fostering a diverse work environment and are 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

How we rate this

Senior Switch Software Researcher at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

System ArchitectureNetworkingDistributed ComputingEthernetInfinibandNvlink

Questions you could be asked

  1. Tell me about a project where system architecture was part of your work. What did you do?
  2. Tell me about a project where networking was part of your work. What did you do?
  3. Tell me about a project where distributed computing was part of your work. What did you do?
  4. What's a project where you used Ethernet hands-on?
  5. Walk me through how you've used Infiniband in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: System Architecture, Networking, Distributed Computing, Ethernet, and Infiniband. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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