Engagement Tech Lead, Agentic AI

🕒 vor 22 Tagen

🏄 California – Remote

🏄 California – Remote

💵 $224.000 - $431.250 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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NVIDIA

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• Lead the technical engagement with a focused set of ISV partners, working closely with their Software Platform Architects. • Together you'll set the objectives, timelines, and adoption plan for each account. • Stay hands-on: design and ship the code, methods, and reference architectures that bring RAG, inference, and multi-agent, long-horizon workflows to life on our stack (NeMo, Nemotron, NeMo Agent Toolkit, NIM, Dynamo, TensorRT-LLM) and open tools (vLLM, LangChain, vector DBs, MCP, A2A). • Lead the technical strategy and execution: run the cadence, track adoption, and share what you learn with our Product, Engineering, Research, and Solution Architecture teams to land the best solution. • Build breadth across the agentic AI lifecycle, with depth in a few areas that fit you: fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, reasoning, advanced RAG, multi-agent workflows, skills/harness engineering, agent evaluation and observability, and production inference. • Be the voice of the partner inside NVIDIA. Bring their needs and architecture to our Product, Engineering, and Research teams, and help shape the roadmap with what you see across industries. • Grow deep expertise in agentic platform architecture, and keep up with our fast-moving field and stack so you can give partners the best guidance.

🎯 Anforderungen

• 12+ years in technical Product, Engineering, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work. • Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience. • A strong AI/ML and deep learning foundation, with hands-on experience building enterprise-grade GenAI systems: advanced RAG, multi-agent architectures, and production LLM deployments. • You enjoy leading technical engagements with customers, earning the trust of senior engineers, architects, and executives, and bringing a cross-functional team along. • Proficiency in Python and PyTorch and the modern agent/LLM stack (LangChain, an inference engine like vLLM or TensorRT-LLM, vector DBs, MCP/A2A). • Direct experience with every tool is not required. • Solid grasp of enterprise deployment: MLOps/LLMOps, Kubernetes and Docker, and security, compliance, and governance. • The range to research, prototype, and collaborate across teams, and execution rigor to carry the best solution through to production.

🏖️ Vorteile

• equity • benefits