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:
Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options for our next generation of switches.
Learn and understand the switch ASIC across all performance related aspects
Focus on switch hardware modeling.
Analyze and model the communication patterns of key DL, GAI inference and training applications.
Explore innovative ideas to improve and optimize our chip systems performance.
What we need to see:
BSc/MSc in Electrical Engineering, Computer Science from a known university.
Experience in developing simulation models.
2+ years of experience in C++ and Python.
Strong debug skills.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
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)
Demonstrated ability to innovate and lead new technologies leading to product impact.
Experience with NVLink/Ethernet/IB technologies.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!
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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.”
