NVIDIA
Skills: Python, Docker
NVIDIA(https://himalayas.app/companies/nvidia) is looking for an AI Solutions Architect with deep, hands-on experience in large-scale GPU systems. This role involves working with some of the world’s leading consumer internet companies and frontier labs building foundation models. Primary responsibilities include accelerating customer workloads, designing high-performance AI infrastructure, and leading technical engagements around NVIDIA(https://himalayas.app/companies/nvidia) technologies. We work with the world’s most successful technology companies, uniquely positioning you to observe and influence emerging infrastructure trends using the latest advancements. Join us in this exciting endeavor!
What You’ll Be Doing:
Collaborating closely with customers to maximize GPU utilization and end-to-end workload throughput while improving infrastructure reliability and reducing infrastructure costs. Designing and optimizing large-scale AI clusters across GPU compute, high-performance networking, storage, workload scheduling, orchestration, and observability. Profiling distributed training and inference workloads to identify bottlenecks across GPUs, CPUs, memory, network fabrics, storage systems, and software stack. Diagnosing complex infrastructure and distributed systems issues spanning InfiniBand and RoCE fabrics, cloud interconnects, RDMA, NCCL, NVLink, and NVSwitch. Leading proof-of-concepts and performance studies for large-scale AI infrastructure, developing benchmarking tools, automation, runbooks, and technical collateral as needed. Partnering with NVIDIA(https://himalayas.app/companies/nvidia)’s engineering, product, and sales teams to secure design wins and drive innovative solutions based on customer requirements and field feedback.
What We Need To See:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another Engineering field, or equivalent experience. 6+ years of experience in AI infrastructure, systems engineering, …tru…
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