NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is a learning machine that constantly evolves by adapting to current opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work , to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world
NVIDIA is seeking architects to drive architectural performance for its next-generation AI server systems. This position demands a unique capability to bridge deep architectural knowledge, workload analysis, and hands-on silicon investigations.
Candidates should be adept at working directly with silicon, high-level models, and simulators. Responsibilities include conducting performance investigations on both NVIDIA and competitive platforms, and developing targeted microbenchmarks to examine specific architectural aspects. The role does not heavily involve modeling tasks (functional or performance), though occasional focused assignments may arise.
What You'll Be Doing
- Analyze workloads of interest on existing silicon, with an emphasis on at-scale AI workloads, and high-performance computing (HPC) applications.
- Collaborate with cross-functional teams to define performance metrics and key use-case scenarios, then develop robust tests and benchmarking methodologies.
- Conduct comprehensive performance evaluations, identify bottlenecks, and recommend effective solutions using appropriate tools and platforms.
- Utilize insights from workload analysis and silicon studi