Senior Solutions Architect, AI Cloud Services

🕒 vor 14 Tagen

🏄 California, New York, +1 weitere Bundesländer – Remote

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💵 $152.000 - $287.500 / Jahr

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 1%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of NVIDIA

NVIDIA

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

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA software and hardware technologies • Build and deploy solutions at scale using NVIDIA AI software on cloud-based GPU platforms • Build custom proofs of concept addressing customers’ critical business needs with NVIDIA technologies • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities • Conduct technical customer meetings covering project and product details, feature discussions, new technologies, and debugging • Prepare and deliver technical customer content, including presentations and workshops • Serve as the first line of technical expertise between NVIDIA and customers • Engage developers, researchers, and data scientists • Work closely with business and engineering on product strategy • Drive end-to-end technology solutions incorporating NVIDIA’s full technology stack

🎯 Anforderungen

• BS, MS, PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • 4+ years of Solutions Engineering or similar Sales Engineering experience • Track record of deploying AI/ML solutions in cloud environments, including AWS, GCP, Azure, or OCI • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data center deployments • Effective time management and ability to balance multiple tasks • Ability to communicate ideas clearly through documents and presentations • AWS, GCP, Azure, or OCI Professional Solutions Architect certification is a preferred differentiator • Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, Triton, and TensorRT-LLM is preferred • Deep understanding of the software development lifecycle, system design, architectural patterns, and comprehensive testing is preferred • Solid working knowledge of Python is preferred • System-level experience with GPU-based systems is preferred • Occasional travel required for local customer visits and industry events

🏖️ Vorteile

• Equity • Benefits • Remote work locations • Occasional travel for local on-site visits to customers and industry events

Jetzt Bewerben

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