Global Account Manager, Developer Relations

Job not on LinkedIn

🔥 10 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤝 Developer Relations (DevRel)

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Attractive compensation • Generous benefits package • Equity • Benefits