Senior Solutions Architect, Generative AI Specialist

🕒 vor 2 Monaten

🏄 California, North Carolina, +3 weitere Bundesländer – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $184.000 - $287.500 / Jahr

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

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NVIDIA

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10.000+ Mitarbeiter

Gegründet 1993

🤖 Künstliche Intelligenz

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Function as the chief technical representative for advanced AI partners, handling detailed technical interactions and synchronizing their roadmaps with NVIDIA's platform and emerging technology • Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs • Architect and build enterprise-grade agentic AI systems, RAG pipelines, and multi-modal workflows, ensuring high-performance, GPU-accelerated inference at scale • Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment • Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers • Collaborate with NVIDIA’s internal engineering, research, and product teams to resolve critical partner issues and speed up shared success • Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth • Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem

🎯 Anforderungen

• 8+ years of relevant engineering experience crafting, developing, and deploying AI/ML systems and complex LLM-powered workflows • Strong proficiency in advanced GenAI and LLM approaches, including proprietary vs. open model selection, retrieval-augmented generation (RAG), prompt engineering, and production inference optimization • Familiarity with agentic AI standards (LangGraph, LangChain, MCP) and expertise in multimodal AI systems including vision-language models and audio/video workflows • Hands-on experience with fine-tuning (PEFT, LoRA), synthetic data generation, and implementing automated AI evaluation frameworks to measure quality and safety • Strong command of GPU-optimized infrastructure (Docker, Kubernetes), microservices, and MLOps pipelines for automated training and distributed inference • Experience with AI observability (trace logging, latency monitoring) and a solid understanding of responsible AI, including guardrails, data governance, and regulatory considerations (HIPAA, GDPR) • Experience connecting cloud and on-premises deployments, hybrid architectures, and familiarity with Physical AI concepts such as simulation environments and edge inference • Proven ability to communicate complex technical concepts to diverse audiences and experience in technical engagement roles involving discovery and requirements gathering • MS or advanced degree in Computer Science, AI, or a related field—or equivalent experience.

🏖️ Vorteile

• equity • benefits