Employment Type: Full Time.
Start Date: Fall.
Department: Engineering Research & Development.
Salary:
• The base salary range is 108,000 USD - 201,250 USD.
• You will also be eligible for equity and benefits.
What you'll be doing:
• You will be contributing to power estimation models and tools for GPU products and systems.
• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• You will help with Performance vs Power Analysis future product lineup.
• Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
• Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
• Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
• Pursuing a bachelor’s in electrical engineering, or equivalent experience related to Power / Performance estimation and optimization techniques.
• Knowledge of energy efficient chip design fundamentals and related tradeoffs.
• Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
• Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
• Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
• Familiarity with performance monitors/simulators used in modern processor architectures.
Important: The successful application submission for the above role(s) will be conditional to your profile evaluation by our Recruitment Specialists using the AI system. We can let you know better once you submit your resume.
Location: Anywhere
Posted: Oct. 10, 2024, 7:36 p.m.
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