Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers.
We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced AI models such as GPT and DeepSeek. As a high-performance system architect at NVIDIA, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
What you’ll be doing:
Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
Research various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.
Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.
What we need to see:
B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer.
At least 5 years of industry or research experience in computer networks.
Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads effect on the network.
Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.
Possess strong managerial, problem solving and critical thinking skills.
Ability to work and operate in a highly dynamic environment.
Partner with multiple groups in the organization.
Ways to stand out from the crowd:
Good knowledge in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies.
Good knowledge in Python, C++.
Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments.
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 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. 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
- B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineering, or Electrical Engineering.
- At least 5 years of industry or research experience in computer networks.
- Excellent understanding of large-scale network behavior and distributed computing workload impacts on networks.
- Experience developing simulation models, analyzing simulation results, and developing optimization algorithms.
- Strong managerial, problem solving, and critical thinking skills.
- Ability to work and operate in a highly dynamic environment.
- Partnering and collaborating effectively with multiple groups across the organization.
- Knowledge of network protocols (InfiniBand, IP, TCP, RoCE) and network topologies.
- Proficiency in Python and C++.
- Familiarity with HPC environments, routing algorithms, OMNeT++ and NS-3 simulation environments.
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.
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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.
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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.
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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
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.”
