NVIDIA
Technology
SeniorAppliedAIandAIInfrastructureEngineerChipDesignandDFX
“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
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