NVIDIA networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider NVIDIA. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.
What you'll be doing:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.
Explore innovative ideas to improve and optimize our chip systems performance.
Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
BSc/MSc in Electrical Engineering, Computer Science from a known university.
Experience in developing simulation models.
4+ years of experience in a relevant role as chip architecture or system integration
Knowledge and understanding of computing and networking systems.
Strong debug skills.
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking.
NVIDIA is widely considered to be one of the tech world’s most desirable employers.
Master's degree in Electrical Engineering, Computer Science or related technical field.
5+ years of relevant practical experience.
Experience with network simulation tools (omnet, ns3, sst, gem5)
NVIDIA is widely considered to be one of the tech world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
Skills Required
- BSc/MSc in Electrical Engineering or Computer Science
- Experience developing simulation models
- 4+ years experience in chip architecture or system integration
- Knowledge and understanding of computing and networking systems
- Strong debug skills
- Leadership, interpersonal skills, and ability to learn complex concepts quickly
- High attention to design detail and focus on design quality
- Experience with network simulation tools (omnet, ns3, sst, gem5)
- Master's degree in EE/CS or related field
- 5+ years relevant practical experience
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.”
