Senior Director, Datacenter AI Power & Silicon Validation

Nutanix; Santa Clara (CA); On-site; USD 250,000 - 376,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a Data Center AI Pre and Post Silicon Power Lead to define and validate power targets from IP to rack. You will develop validation plans, optimization strategies, and ensure silicon/system meets top-tier power efficiency, influencing next‑gen AI accelerators with silicon analysis feedback.

Collaborate with design, architecture, emulation, firmware, and software teams to drive power validation, benchmarking, and tuning across datacenter AI workloads.

Qualifications

• Bachelor's degree in Science/Engineering required with 10+ years of ASIC related work experience.
• Master's degree with 9+ years or PhD with 8+ years in ASIC design/verification/validation.
• Strong programming and scripting skills in C/C++ and Python.

Responsibilities

• Characterize Data Center workloads to feed pre-Si modeling.
• Define end-to-end power analysis plans for complex Datacenter AI systems.
• Debug pre-silicon, bring-up, validation, and SOC production issues.
• Define optimization strategy to deliver world-class datacenter AI efficiency.
• Lead cross-team test approaches and track execution for performance and power.

Skills

C/C++

Python

Datacenter workloads

Power analysis

SoC architecture

Debugging

Education

Bachelor's degree in Science/Engineering

Master's degree in Science/Engineering

PhD in Science/Engineering

Tools

Power analysis tools

Platform benchmarking

Job description

Qualcomm Technologies, Inc. seeks a Data Center AI Pre and Post Silicon Power Lead to define and validate power targets from IP to rack. You will develop validation plans, optimization strategies, and ensure silicon/system meets top-tier power efficiency, influencing next‑gen AI accelerators with silicon analysis feedback.

Collaborate with design, architecture, emulation, firmware, and software teams to drive power validation, benchmarking, and tuning across datacenter AI workloads.