NVIDIA
Technology
SeniorAppliedAIandAIInfrastructureEngineer-ChipDesignandDFX
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optimal for Senior candidates.
“Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX at NVIDIA. Skills: AI Infrastructure, Applied Machine Learning, Gen AI, Chip Design. Work on Applied AI projects. Build deployment cycles”
Industry & Context.
Hard-to-solve problems
What They're Looking For.
Must Have
BSEE or equivalent experience, MSEE with 10+ years experience, PhD with 6+ years experience, 12+ years of experience in AI Infrastructure management, 10+ years of experience in Applied Machine Learning, 6+ years of experience in Gen AI, programming skills in Python, programming skills in C++, Architect and optimize multi-region, globally distributed systems, Lead data modeling, performance tuning, and capacity planning for large-scale mission-critical Gen AI workloads
Nice to Have
MSEE with 10+ years experience, PhD with 6+ years experience, Experience in Ai infrastructure management for real-world systems, Experience in application of AI for Chip Design problem-solving
What You'll Do.
Work on Applied AI projects
Build deployment cycles
Manage deployment cycles
Set up AI infrastructure
Maintain code pipelines
Apply algorithm design
Analyze complex datasets
Interpret complex datasets
Use Applied AI methods
Develop Gen AI solutions
Deploy Gen AI solutions
Mentor junior engineers
How You'll Work.
Team & Collaboration
On-prem infrastructure teams; SW dev teams
Communication Scope
Written communication; Oral communication
Full Job Description
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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 creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. **What you 'll be doing:** * As a senior member in our team, you will work on Applied AI projects that requires ML & Gen AI expertise. * You will work on building and managing deployment cycles as part of the AI Infrastructure requirements at an org-wide level. * For setting up a robust AI infrastructure, you will be the liaison between on-prem infrastructure teams and SW dev teams, while monitoring performance, automating deployments and maintaining code pipelines. * You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. * In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. * You will also help mentor junior engineers on test designs and trade-offs including cost and quality. **What we need to see:** * BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in AI Infrastructure management, Applied Machine Learning and Gen AI. * Excellent knowledge in building agents and multi-agent
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