About the role
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 switch ASICs which connect GPUs at scale for efficient data transfer and compute.
We are looking for a performance modeling architect to join the team and shape, optimize, and explore our future networking chips and solutions. The role is cross-disciplinary, collaborating with hardware, software, and research teams across the wider NVIDIA. You will lead workgroups towards technical solutions that will influence the heart of cutting-edge networking products. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation of networking solutions.
What you'll be doing:
Thoroughly understand our networking solutions across all performance related aspects
Develop a C++ simulation model to define and evaluate architectural options for our next generation of networking products.
Understand different trade-offs related to solving performance bottlenecks.
Collaborate and lead technical solutions within architecture, research, hardware, and software teams.
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 Computer Science, Electrical Engineering, from a known university.
Excellent verbal and written communication skills.
High level of ownership and the ability to drive solutions and initiatives.
Proficiency in C++ and Python.
3+ years of hands-on experience.
Strong debug skills.
Ways to stand out from the crowd:
Master's degree in Electrical Engineering, Computer Science or related technical field.
Demonstrated ability to innovate and lead new technologies leading to product impact.
Experience with NVLink/Ethernet/IB technologies.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
