NVIDIA
Technology
DevOpsEngineer,DFXSoftware
Neural analysis suggests this role is
optimal for Mid candidates.
“DevOps Engineer, DFX Software at NVIDIA. Skills: DevOps, CI/CD, Automation, Infrastructure management. Design DevOps workflow. Manage DevOps workflow”
Industry & Context.
Troubleshoot; Resolve issues
What They're Looking For.
Must Have
BE or BTech or MTech, 2+ years relevant work experience, Solid programming and scripting skills, Software engineering skills, Experience with configuration management tools, Proficiency with containerisation technologies, Experience with cloud platforms, Knowledge in GitLab pipelines, Familiarity with Artifactory and Jenkins, Good understanding of build frameworks, Experience in providing lab software and hardware
Nice to Have
MTech in Computer Science, Electronics Engineering, Electrical Engineering, equivalent experience, Python/C++ or TCL desired, Familiarity with JIRA, Knowledge or experience with DFT, GenAI, LLM, AI Code Generation skills desirable
What You'll Do.
Design DevOps workflow
Manage DevOps workflow
Provide software support
Provide hardware support
Resolve critical issues
Architect automated design flows
Architect customizable design flows
Support development of tools
Work cross-functionally with DFT Methodology
Work cross-functionally with Implementation teams
Work cross-functionally with design teams
Implement CI/CD pipelines
Maintain CI/CD pipelines
Manage cloud infrastructure
Manage on-premise systems
Troubleshoot system issues
Troubleshoot network issues
Troubleshoot application issues
Resolve system issues
Resolve network issues
Resolve application issues
How You'll Work.
Team & Collaboration
Cross-functionally with DFT Methodology; Cross-functionally with Implementation teams; Cross-functionally with design teams
Full Job Description
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. As part of the CAD team, our engineers develop and support tools for all of NVIDIA's semiconductor products. They also develop in-house tools in the area of Design for Test (DFT) using C++, Python, and TCL. You will work on infrastructure and software used to test our complex semiconductor devices. Below are some of the team's activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today. **What you will be doing:** * Be responsible for designing and managing the DevOps workflow for the software team. * Provide essential software, hardware, and lab support to ensure smooth operations and resolve any critical issues. * Architect highly automated and customizable design flows using software engineering and AI Code Generation with modular design and object-oriented techniques. * Support development of tools using C++/Python/TCL. * Work cross-functionally with DFT Methodology, Implementation, and design teams with important DFT development tasks. * Implement and maintain CI/CD pipelines for DevOps processes. * Manage cloud infrastructure and on-premise systems for scalable and reliable deployment. * Troubleshoot and resolve system, network, and application issues. **What we need to see:** * A BE or BTech or MTech in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent experience. * At least 2+ years of relevant work experience in DevOps, with a focus on CI/CD, autom
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