Chip Power Estimation and Optimization Engineer

Role Overview: You will be working as a passionate and highly motivated engineer at NVIDIA, focusing on architectural power estimation for leading GPUs and SOCs. Your main responsibility will involve developing advanced power models to estimate chip and board power under various use cases driven by products. You are expected to have a deep understanding of high-level chip architecture, application use-cases, low power design techniques, and process technology aspects affecting dynamic and leakage power. Your tasks will include developing estimation infrastructure, estimating power consumption under different scenarios, and collaborating with various teams within the company. Key Responsibilities: - Architecture, development, and correlation of power estimation models/tools for NVIDIA's chips - Collaborate in architecting and developing power models for use-cases, Idle power, and IO power - Assist in designing tools based on the models and testing methodology/infrastructures - Correlate and calibrate power models using measured silicon data - Analyze and contribute to chip configuration and process technology options for optimizing power/performance of upcoming chips - Study and contribute to ideas for Performance/Watt improvement for NVIDIA's GPUs and SOCs Qualifications Required: - B.Tech./M.Tech degree with at least 3 years of experience in Power/Performance estimation and optimization techniques - Strong fundamentals in power, including transistor-level leakage/dynamic characteristics of VLSI circuits - Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS) - Solid background in power estimation techniques, flows, and algorithms - Proficient in programming, with a preference for Python. Good skills in object-oriented programming and design Additional Company Details: NVIDIA is a dynamic, technology-focused company with a global team dedicated to pushing the boundaries of what is possible in computing. The company impacts product lines ranging from consumer graphics to self-driving cars and artificial intelligence. NVIDIA continuously evolves by adapting to new opportunities, focusing on highly scalable and massively parallel computation horsepower with its GPUs. As an NVIDIAN, you will be part of a diverse and supportive environment where everyone is encouraged to excel and make a lasting impact on the world.,