Swati Gupta - System Engineer at NVIDIA

Swati Gupta

System Engineer at NVIDIA

Sunnyvale, California, United States

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Summary

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Rockstar

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Top School

Swati Gupta is a systems engineer with nine years of experience building and automating GPU-focused infrastructure and tooling at NVIDIA, where she advanced from intern to core contributor. She specializes in backend development and test automation in Go and C, with hands-on experience across Linux, Docker, Kubernetes, and AWS, and a strong scripting background in Python and Bash. Her open-source contributions to high-profile NVIDIA projects—dcgm-exporter, gpu-monitoring-tools, libnvidia-container, and gpu-operator—include adding Go bindings, process- and device-level APIs, Vulkan/raytracing support, and CI/CD improvements for reliable GPU deployments. Based in Sunnyvale, she combines systems-level engineering with DevOps practices to ship production-ready monitoring and container runtime features. A Georgia Tech MS student and Holberton-trained software engineer, she often connects low-level GPU telemetry with higher-level observability and automation.

9 years of coding experience

1 year of employment as a software developer

Software Engineering, Software Engineering at Holberton School

Master of Arts (MA), Master of Arts (MA) at AUD

Associate of Science (AS), Associate of Science (AS) at Foothill College

University of Delhi

Master of Science - MS, Master of Science - MS at Georgia Institute of Technology

English, Hindi

Stackoverflow

Stats

67reputation

8kreached

7answers

0questions

Github Skills (32)

unit-testing10

kubernetes10

docker10

monitor10

apidoc10

testing10

linux10

c1110

containerization10

dockers10

cicd10

c1710

nvidia10

go10

api10

Programming languages (9)

HCLPowerShellDockerfileShellC++CMakefileGo

Github contributions (5)

NVIDIA/gpu-monitoring-tools

May 2018 - Oct 2020

Tools for monitoring NVIDIA GPUs on Linux

Role in this project:

Back-end Developer

Contributions:75 commits, 10 PRs, 29 pushes in 2 years 5 months

Contributions summary:Swati implemented APIs for retrieving process information, specifically focusing on compute and graphics processes. They added new data structures and functions within the Go bindings to interact with the NVIDIA Management Library (NVML). Furthermore, the user introduced a sample application demonstrating how to use the new APIs to gather and display process details. This work expanded the functionality of the GPU monitoring tools.

cudanvidiagpulinuxgpus

NVIDIA/dcgm-exporter

May 2018 - Oct 2020

NVIDIA GPU metrics exporter for Prometheus leveraging DCGM

Role in this project:

Back-end Developer & Test Automation Engineer

Contributions:72 commits in 2 years 4 months

Contributions summary:Swati primarily contributed to the development and testing of Go bindings for the NVIDIA DCGM (Data Center GPU Manager) exporter. Their work involved adding Go samples for GPU monitoring, including a dmon sample, and implementing unit tests using Go's testing framework. They also added new features to the Go bindings, such as exporting device information and health checks, and added new API's and metrics.

exporternvidialeveraginggpumetrics-exporter

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