NVIDIA
AppliedAIEngineer,ProductConvergenceandClosure
“Applied AI Engineer, Product Convergence and Closure at NVIDIA. Skills: Applied AI, Product Convergence, Toolchain automation, Data pipelines, LLM integration. Build the infrastructure that turns raw simulation data (power, noise, binning yields, and more) into real firmware tuning, product specs, and manufacturing limits. Own the pipelines between tools”
What You'll Achieve.
Every product NVIDIA ships goes through the systems you'll help build
Industry & Context.
Distinguish which new tools matter and which are just hype; Catch data errors and inconsistencies before they turn into release blockers
Support questions don't always wait for business hours
What They're Looking For.
Must Have
4+ years shipping production Python services and data pipelines, Hands-on experience applying LLMs to engineering problems: agents, MCP, RAG, or evaluation pipelines, Shipped an LLM-backed feature in production, Instincts for data quality: the automated checks, schema validation, and integration tests that keep pipelines trustworthy when inputs change, Keep up with a fast-paced AI landscape and can distinguish which new tools matter and which are just hype
Nice to Have
Silicon product proficiency (speed, power, voltage noise, binning), MCP, DSPy, or LLM evaluation, Perl interop for legacy chip-data, Crafted dashboards and visualizations for diverse collaborators
What You'll Do.
Build the infrastructure that turns raw simulation data (power
and more) into real firmware tuning
and manufacturing limits
Own the pipelines between tools
Use LLMs and agents across the toolchain to automate the analysis
Build the observability and validation systems that catch data errors and inconsistencies before they turn into release blockers
Work with product convergence
and manufacturing teams to translate new hardware requirements and capabilities into workflows that make it to production
How You'll Work.
Team & Collaboration
Work with product convergence, silicon architecture, firmware, and manufacturing teams
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