NVIDIA

AI, machine learning, datacenter acceleration, datacenter networking

SeniorDFXInfrastructureEngineer

$196–368k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior DFX Infrastructure Engineer at NVIDIA. Skills: DFX Infrastructure, ATE test vector release, fail analysis/diagnosis flows, Perl, Python. Build, develop, test, and deploy internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows. Work with DFT or equivalent experience, ATE bringup, Silicon FA teams”

What You'll Achieve.

Ensure Bringup success; Ensure flow robustness

Industry & Context.

AI, machine learning, datacenter acceleration, datacenter networking
Problems you'll solve

Ability to debug existing internal code base

What They're Looking For.

Must Have

BS degree in Computer Science or related technical field where coding, computer usage is proven ability in related field (or equivalent experience), 10+ years of relevant experience, In depth ATE knowledge, Excellent Perl, Python scripting skills, Track record showing consistently producing original scripts, code, Familiarity with SSN scan architecture, diagnostics flow, Ability to debug existing internal code base, Ability to independently work on your own

Nice to Have

Advantest 93k knowledge strongly desired, Teradyne Ultraflex preferred, C++ knowledge is nice to have, Ability to use AI assistant tools

What You'll Do.

and deploy internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows

Work with DFT or equivalent experience

Build regression testcases to ensure flow robustness

Support silicon bringup teams to ensure Bringup success

Develop code to integrate new features into current tools

check in and deploy fixes

How You'll Work.

Team & Collaboration

Collaborative with team members and other teams; Always look to help other teams

Communication Scope

Communicate to others with clarity and thoughtfulness

Full Job Description

NVIDIA is the leader in AI, machine learning, and datacenter acceleration. NVIDIA is growing that leadership into datacenter networking. This includes ethernet switches, NICs, and DPUs. NVIDIA has reinvented itself continuously over two decades. Our invention of the GPU in 1999 fueled PC gaming growth, redefined modern computer graphics, and changed parallel computing. More recently, GPU deep learning sparked modern AI, the next computing era. NVIDIA is a “learning machine” that evolves by adapting to new, difficult opportunities that only we can solve and that matter globally. This is our life’s work: to amplify human imagination and intelligence. Make the choice, join our diverse team today. We are now looking for a highly motivated and dedicated Senior DFT Infrastructure Engineer to join our DFX group. You will join this multifaceted and innovative DFX team to develop the next generation of scalable, detailed tools and workflows. These tools will support various Silicon bringup and FA teams. **What you’ll be doing:** * Build, develop, test, and deploy internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows * Work with DFT or equivalent experience, ATE bringup, Silicon FA teams * Build regression testcases to ensure flow robustness * Support silicon bringup teams to ensure Bringup success * Develop code to integrate new features into current tools * Resolve tool bugs, check in and deploy fixes **What we need to see:** * BS degree in Computer Science or related technical field where coding, computer usage is required; proven ability in related field (or equivalent experience) * 10+ years of relevant experience * In depth ATE knowledge. Advantest 93k knowledge strongly desired, Teradyne Ultraflex preferred, and ability to use AI assistant tools * Excellent Perl, Python scripting skills. C++ knowledge is nice to have. * Track record showing consistently producing original scripts, code * Familiarity with SSN scan architecture, diag

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