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Mission:
- Drive enterprise AI infrastructure strategy, hardware roadmaps, and edge deployment architectures.
- Own reliability, security, and compute cost governance across AI platforms.
Responsibilities:
- Define technical standards for cloud, edge, and hybrid AI systems.
- Lead capacity planning, benchmarking, and vendor negotiations for GPU and cloud infrastructure.
- Mentor engineers and set technical direction across concurrent initiatives.
Qualifications:
- BS in Comp Eng/CS with 5+ years in systems engineering and cloud architecture.
- Experience with Kubernetes, Python, and major cloud platforms.
- Deep understanding of GPU/NPU/TPU compute and inference acceleration.
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