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Senior DevOps Engineer

NVIDIA · Posted Oct 13

Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions

India, BengaluruFull-timeOnsiteSenior Level8+ years₹40.0L–₹60.0L yearly<25 applicants
SemiconductorsArtificial IntelligenceComputer HardwareCloud ComputingPublic Company
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About the role

NVIDIA's HPC Infrastructure team designs, evaluates, and optimizes the compute infrastructure powering NVIDIA's next-generation silicon design and AI workloads. This role owns the automation platform underneath VLSI infrastructure - the tooling, services, and pipelines that turn manual infrastructure work into self-running systems. As a hands-on Senior DevOps Engineer, you will build internal services and command-line tooling, event-driven automation around source control, and CI, release, and deployment mechanics for the team's internal tooling.

What you will do

  • In this position, you will own the automation platform underneath VLSI infrastructure - the tooling, services and pipelines that turn manual infrastructure work into something that runs itself.
  • Design and build internal services and command-line tooling used daily by design and infrastructure engineers, with real attention to interface design and reliability.
  • Build event-driven automation around source control - reacting to repository events, keeping workspaces and client mappings healthy, and removing the manual maintenance around them.
  • Own CI, release and deployment mechanics for the team's internal tooling, and instrument what you build so it is observable and debuggable by the rest of the team.
  • This is a hands-on technical role. You will write and run the code yourself, work with the scheduling team on the automation layer beneath job submission, and reduce the operational load on senior engineers by turning their recurring manual work into services.

Skills used in this role

PythonPerforceGitGitLab CIJenkinsCI/CDLinuxShell ScriptingHPCEDAVLSI

What the employer is looking for

  • B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years in DevOps, platform, or infrastructure software engineering.
  • Strong software engineering in Python - you write production-quality, tested code rather than one-off scripts, and you have delivered tooling that other engineers depend on daily.
  • Hands-on experience automating against source control management at scale, Perforce preferred and Git acceptable, including its APIs and event streams.
  • Solid CI/CD experience (GitLab CI, Jenkins, or equivalent) and container-based packaging and deployment.
  • Strong Linux systems knowledge and shell fluency, with experience building and operating internal developer platforms or engineering tooling.
  • Familiarity with batch compute environments and how engineering workloads are submitted, tracked and debugged, and comfort owning what you build in production. Semiconductor/EDA or HPC exposure is a plus.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About NVIDIA

NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.

Industry
Semiconductors
Company size
42000+ employees
Founded
April 5, 1993
Location
Santa Clara, California, USA
Funding stage
Public Company

Funding

Public Company · $5M raised

Worldview Technology Partners

Leadership

JH
Jensen Huang

Founder, President and Chief Executive Officer

CK
Colette Kress

Executive Vice President and Chief Financial Officer

CA
Chris A. Malachowsky

Founder and NVIDIA Fellow

JP
Jay Puri

Executive Vice President, Worldwide Field Operations