Senior Applied Power Architect - GPU

Job Description

NVIDIA is seeking a Senior Applied Power Architect - GPU to contribute to the development of energy-efficient GPU and SOC architectures for a variety of sectors.

Requirements

• MSEE/MSCE, preferably PhD, with a focus on low-power-processor architectures
• 3+ years of relevant industry experience in energy efficient system design
• Deep understanding of processors, servers, and system-SW architectures
• Proficiency in Python and data analysis packages like Pandas, NumPy, PyTorch
• Experience with industry standard Power Analysis EDA tools and performance monitors/simulators
• Ability to analyze board-level power issues and strong interpersonal skills

Responsibilities

• Inventing flows/methodologies and building power estimation models/tools for GPU products and AI systems
• Investigating multi-die technologies and addressing packaging, interconnect, and design challenges
• Driving performance vs power analysis for product decisions and customer interaction
• Collaborating with cross-functional teams to understand product challenges and improve energy efficiency

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching