Senior Solutions Architect, Generative AI Specialist

🕒 il y a 2 mois

🏄 California, North Carolina, +3 états de plus – Distant

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

💵 $184 000 - $287 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• equity • benefits