A

Aryan Srivastava

VP of Engineering

Lucknow, Uttar Pradesh, India12 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in AI infrastructure and supercomputing.
  • Proven track record in optimizing AI workloads.
  • Leadership in AI hardware development at scale.
Stackforce AI infers this person is a leader in AI Infrastructure and Optimization for enterprise-scale solutions.

Contact

LinkedIn

Skills

Core Skills

Ai InfrastructureCloud ComputingAi OptimizationData InfrastructureOmniverse InfrastructureAi SystemsAi Hardware DevelopmentSystem Design

Other Skills

strategic planningtechnical architecturescale-out deploymentAI supercomputing infrastructureperformance optimizationreliability engineeringcost-effectiveness analysisAI workload efficiencyGPU utilizationnetwork utilizationresiliencestorage optimizationarchitecture decisionsarchitecting systemsdeploying AI systems

Experience

12 yrs 4 mos
Total Experience
6 yrs 2 mos
Average Tenure
9 yrs 4 mos
Current Experience

Nvidia

3 roles

VP of AI Infra at NVIDIA DGX Cloud

Promoted

Jan 2024 – Present · 2 yrs 4 mos · Santa Clara County, California, United States

  • As the VP of AI Infrastructure for NVIDIA DGX Cloud, he is responsible for leading the strategic planning, technical architecture and scale-out deployment of the global AI supercomputing infrastructure, ensuring that the performance, reliability and cost-effectiveness of the DGX Cloud (cloud-based AI supercomputing service) is at the top of the industry, and directly supports the AI training and reasoning needs of enterprise customers and developers.
strategic planningtechnical architecturescale-out deploymentAI supercomputing infrastructureperformance optimizationreliability engineering+3

Senior Director, AI and Data Infra Optimization Team

Jan 2021 – Jan 2024 · 3 yrs · Santa Clara County, California, United States

  • Our AI and Data Infra Optimization Team works on improving AI workload efficiency (including GPU and network utilization, resilience, storage, etc), and also supports architecture decisions and large scale workload bringup.
AI workload efficiencyGPU utilizationnetwork utilizationresiliencestorage optimizationarchitecture decisions+2

Senior Director, Omniverse Infrastructure

Jan 2017 – Jan 2021 · 4 yrs · Santa Clara County, California, United States

  • Leading a team focusing on architecting, deploying and optimally utilising AI and Omniverse systems.
architecting systemsdeploying AI systemsoptimizing Omniverse systemsOmniverse InfrastructureAI Systems

Meta

Director, AI System Co-design

Jan 2014 – Jan 2017 · 3 yrs · Menlo Park, California, United States

  • At Meta I built and lead AI System Codesign team responsible for development and productization of several generations of accelerated AI HW for key AI services at datacenter scale. We have done it through SW/HW co-design of end-to-end systems, simultaneously optimizing models, algorithms, architecture, and other aspects of physical infrastructure including networking, storage, and datacenter design. We supported number of key AI products and services, such as Ads, Feed, computer vision, speech, and natural language processing
AI System Co-designaccelerated AI hardware developmentSW/HW co-designdatacenter scale optimizationnetworkingstorage design+3

Education

University of Michigan

Doctor of Philosophy - PhD — Computer Science

Jan 2000 – Jan 2002

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