Chip Power Estimation Engineer
NVIDIAJob Title
Chip Power Estimation Engineer
Role Summary
Develop architectural power estimation models and the supporting infrastructure for NVIDIA GPUs and SoCs. Collaborate with architecture, design, synthesis, timing, circuit, and post-silicon teams to estimate and optimize chip and board power across product-driven use cases.
Opportunity to influence power/performance decisions across consumer, automotive and AI products.
Experience Level
Entry-level / Early-career - candidates typically have 2+ years of relevant experience in power or performance estimation and optimization.
Responsibilities
Primary responsibilities include:
- Develop, validate, and correlate architectural power estimation models and tools for chips and boards.
- Model power for use-cases, idle states, and I/O power.
- Design estimation infrastructure and testing methodologies.
- Correlate and calibrate power models using measured silicon data.
- Analyze chip configuration and process-technology options to optimize power/performance.
- Propose and evaluate performance-per-watt improvements for GPUs and SoCs.
Requirements
Must-have skills and experience:
- 2+ years of experience in power/performance estimation and optimization.
- Strong fundamentals in transistor-level leakage and dynamic characteristics of VLSI circuits.
- Familiarity with low-power design techniques such as multi-VT, clock gating, power gating, and DVFS.
- Solid background in power estimation techniques, flows, and algorithms.
- Proficient programming skills; Python preferred. Strong object-oriented programming and design ability.
- Effective communication skills and ability to work cross-functionally.
Nice-to-have:
- Experience with lab power measurement equipment (oscilloscope, DAQ) and board-level power analysis.
- Familiarity with power-analysis EDA tools such as PTPX/EPS.
Education Requirements
B.Tech. or M.Tech. (as stated in the source).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
