NVIDIA
Skills: Python
NVIDIA(https://himalayas.app/companies/nvidia) has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIA(https://himalayas.app/companies/nvidia)N, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are hiring a proficient engineer to join our Applied Systems Engineering Performance team. This role integrates comprehensive experimentation and software engineering to explore how emerging platforms respond under demanding HPC and AI workloads. You will reveal performance restrictions, establish trustworthy measurements, and provide collaborating teams with the insights they need to improve new platforms. Your work will connect innovations in individual technologies with the challenge of harmonizing their performance at datacenter scale.
What you'll be doing:
Characterize node, rack, and cluster performance using microbenchmarks and representative applications. Measure throughput, latency, and scaling efficiency to identify compute, memory, communication, and storage bottlenecks. Identify Linux performance problems related to CPU scheduling, NUMA locality, CPU and memory affinity, interrupt handling, and resource contention. Assess their impact on GPU usage and application efficiency. Examine distributed workload scaling, considering collective communication, synchronization delays, slow nodes, and the interplay between computation and communication. Assess how GPU and NIC positioning, interconnect stru…
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