
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.
🕒 vor 2 Monaten
🏄 California – Remote
💵 $224.000 - $431.250 / Jahr
⏰ Vollzeit
🟠 Senior
🔴 Experte
🤝 Entwicklerbeziehungen (DevRel)
🦅 H1B-Visum-Sponsor
👻 Geisterscore 13%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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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.
• Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams • Coordinate product and engineering integration priorities across NVIDIA and Meta teams • Demonstrate and integrate NVIDIA’s software stack into partner products, platforms, and pipelines • Bring NVIDIA developer technology, engineering, solutions architecture, and product resources to accelerate adoption and co-engineer next-generation solutions • Engage technical leaders to drive best-practice integrations and resolve technical challenges • Track adoption, surface new workflows, and channel field insights to NVIDIA product teams • Build relationships with executive and technical collaborators from C-suite sponsors to production developers • Advocate for NVIDIA software across partner executive, architect, research, and developer communities • Identify integration opportunities in inference optimization, model training, recommender systems, kernel-level performance, and data processing • Champion partner needs within NVIDIA and influence product strategy and roadmap • Act as NVIDIA’s PIC to lead cross-functional product, engineering, solutions architecture, developer relations, marketing, legal, sales, and ecosystem teams • Grow upstream adoption in open-source projects and downstream adoption across the ecosystem
• Bachelor’s degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master’s degree or equivalent experience • 12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering • 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing • Deep understanding of large-scale AI infrastructure, including frontier model training and inference platforms, recommender and ranking systems, and data processing platforms • Technical depth to engage research and performance engineering teams as a peer, including model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs • Proven ability to structure and drive complex technical engagements, negotiate requirements, prioritize issues, and collaborate across sales, legal, product, and marketing teams • Ability to distill complex technical concepts and articulate value propositions to developers and C-suite executives • End-to-end experience defining, integrating, building, and bringing solutions to market with strategic partners or open-source communities • Experience influencing partner product roadmaps • MBA, MS, or PhD in computer science, electrical engineering, or a similar field is a differentiator • Familiarity with NVIDIA software libraries and platforms, including CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, and TRT-LLM is a differentiator • Contributor or maintainer standing in partner open-source projects such as PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, and Presto/Velox is a differentiator • Experience engaging AI research organizations is a differentiator • Deep experience working at or alongside Meta is a differentiator
• Attractive compensation • Generous benefits package • Equity • Benefits
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