6 years of Product and/or technical program management experience covering as many of the following areas as possible: data center infrastructure on-prem compute platforms GPU/TPU or custom accelerator evaluation price-performance modeling capacity planning and integration container stack and networking.
Experience with supply demand and finance ops management related to ML Compute accelerators.
Proven track record driving programs that involve evaluating and onboarding new accelerator technologies and integrating them into large-scale ML training platforms
Strong analytical skills in conducting cost-performance trade-off analysis and ensuring hardware/software optimization for ML workloads
Proficiency in multitasking and leading sophisticated programs with a track record in bringing highly technical infrastructure to production
Self-motivated independent and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage prioritize and lead cross-functional teams under pressure
Outstanding interpersonal skills including the ability to influence hardware vendors public cloud providers and internal engineering teams
Strong desire to learn aptitude for problem solving and the ability to make sophisticated trade-offs
BS in EE CS Systems Engineering or equivalent work experience
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