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Senior Circuit Characterization Engineer

NVIDIA
October 13, 2026
Full-time
On-site
Shanghai, China
Test Engineering Jobs, Level - Senior

Job Title

Senior Circuit Characterization Engineer

Role Summary

As a Senior Circuit Characterization Engineer in NVIDIA's Silicon Co-Design Group (SCG) in Shanghai, you will own post-silicon circuit bring-up and characterization from first power-on through production for GPU and SoC products. You will translate lab measurements into root-cause analysis, simulation correlation, guardband recommendations, and design changes that improve performance, power, yield, and product quality.

Experience Level

Senior - typically requires 8+ years of relevant hands-on experience in post-silicon characterization, silicon bring-up, or circuit validation.

Responsibilities

Key responsibilities include leading characterization campaigns, analysis, and cross-functional closure from hypothesis to confirmed fixes.

  • Own silicon circuit bring-up from first power-on through production to optimize performance, power, yield, and quality across process, voltage, and temperature corners.
  • Characterize critical on-die circuits (SRAM, PLL/DLL, clock distribution, voltage regulators, I/O interfaces, on-die sensors) and correlate measured behavior with pre-silicon simulations.
  • Design experiments, execute test plans, and build models that isolate circuit-level bottlenecks.
  • Lead multi-functional root-cause resolution across architecture, design, validation, firmware, reliability, ATE, manufacturing, and operations; own fixes through confirmation.
  • Analyze production-silicon data across PVT corners and binning populations to quantify guardbands, yield trade-offs, and optimization opportunities.
  • Develop reusable automation, data-analysis pipelines, and visualization tools to improve characterization coverage and debug velocity.

Requirements

Must-have technical skills and experience; followed by preferred qualifications.

  • 8+ years of hands-on experience in post-silicon circuit characterization, silicon bring-up, or circuit validation on complex SoC or GPU products.
  • Deep understanding of analog, digital, and mixed-signal circuit behavior, including SRAM, PLLs, clock networks, voltage regulators, I/O circuits, and on-die sensors.
  • Hands-on lab proficiency with oscilloscopes, spectrum analyzers, DAQ systems, source meters, high-speed probing, and tester-to-system correlation workflows.
  • Strong background in power-supply and substrate-noise analysis: chip- and board-level dI/dt characterization, PDN impedance, droop measurement, and mitigation techniques.
  • Proficiency in Python and scripting for automation and data analysis; familiarity with C/C++ is a plus.
  • Excellent problem-solving skills and proven ability to drive alignment across multi-site, cross-functional teams.

Nice-to-have:

  • Experience characterizing circuits at advanced process nodes on large-scale GPU or datacenter SoC products.
  • Background in on-die noise measurement methodology (NMEAS), worst-case noise test development, noise watermarking, or Bayesian/ML-driven characterization optimization.
  • Familiarity with product binning, frequency-voltage optimization, guardband analysis, and statistical techniques for large characterization datasets.
  • Experience with pre-silicon circuit simulation tools (SPICE, timing analysis) and silicon-to-simulation correlation workflows.
  • Experience applying AI/ML methods to analysis, debug, or continuous improvement workflows.

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related technical field - or equivalent practical experience.


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.

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Date Posted: 2026-10-12