Senior Switch Software Researcher

Posted 24 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for researching switch capabilities, exploring performance tradeoffs, building PoCs, and evaluating emerging networking technologies in AI conditions.
Summary Generated by Built In

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.

Skills Required

  • 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
  • 3+ years functioning as a Researcher in networking
  • Expert-level knowledge in Ethernet/IP technologies
  • Excellent understanding of large-scale network behavior
  • Demonstrated ability to conduct deep research and produce innovative ideas
  • Clear verbal and written communication skills
  • Problem-solving and critical thinking skills
  • Ability to operate in a highly dynamic environment

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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