Nilay S - Senior Layout Mask Design Engineer at NVIDIA

Nilay S

Senior Layout Mask Design Engineer at NVIDIA

San Jose, California, United States

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Summary

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Rockstar

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Top School

Nilay S is a seasoned analog and RF layout engineer with over seven years of hands-on experience across custom layout design, hardware testing, characterization, and mixed-signal circuit design, working with processes from 45nm down to 14nm FinFET. At NVIDIA and IQ-Analog he has delivered DRC/LVS-clean layouts, EM-IR analysis, and tape-outs for high-speed ADC/DAC and multi-port register file macros, pairing practical lab characterization with end-to-end design flows. His background spans mm-wave systems, VCOs, phase shifters and power management on advanced nodes, and he’s comfortable driving both simulation (Spectre RF) and physical verification (Calibre, Voltus). A collaborative communicator and quick learner, he brings a “can-do” attitude and attention to detail that shortens iterations between layout and silicon. Notably, he also contributes to open-source projects like the Triton Inference Server, improving backend stability and containerization—an unusual bridge between chip design and cloud-native tooling.

7 years of coding experience

9 years of employment as a software developer

High School, Science, High School, Science at Sharda Mandir

Post Graduation Deploma in VLSI, VLSI, Post Graduation Deploma in VLSI, VLSI at Centre for Development of Advanced Computing (C-DAC), Pune

Master’s Degree, Electrical and Electronics Engineering, Master’s Degree, Electrical and Electronics Engineering at Southern Methodist University

B.E.(E & C), Electronics & Communication, B.E.(E & C), Electronics & Communication at Sardar Vallabhabhai Patel Institute Of Technology

English, Hindi, Gujarati

Github Skills (12)

c-language10

inference10

cprogramming-language10

grpc9

machine-learning8

python8

debugging7

debug7

docker6

dockers6

cloud-computing5

tensorflow5

Programming languages (5)

C++RustCJupyter NotebookPython

Github contributions (5)

triton-inference-server/server

Apr 2023 - Feb 2025

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Role in this project:

Back-end Developer & DevOps Engineer

Contributions:295 reviews, 46 PRs, 208 pushes in 1 year 9 months

Contributions summary:Nilay contributed to the Triton Inference Server by updating container names, fixing a stream inference segfault in the gRPC backend, and updating handling of request priority. The user also added tests related to locale settings in the python backend and supported a parameters object in the generate route. These changes highlight a focus on improving the server's functionality and stability.

nvidia-dockernvidiadeep-learninggpuinference

dlstreamer/pipeline-zoo-models

Nov 2021 - Dec 2022

Repository to store INT8 quantized models derived from open model zoo

Contributions:1 release, 1 review, 10 commits in 1 year

deep-learningderivedzoomodel-zooquantization

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