Global Account Manager, Developer Relations

This is a fully remote position, open to applicants in California.

📋 Description

• Promote the use of NVIDIA software libraries and frameworks throughout business, product, engineering, and research teams.

• Manage product and engineering integration priorities among NVIDIA and Meta teams.

• Showcase and incorporate NVIDIA’s software stack into partner products, platforms, and workflows.

• Leverage NVIDIA developer technology, engineering, solutions architecture, and product resources to boost adoption and collaboratively develop next-generation solutions.

• Collaborate with technical leaders to implement best-practice integrations and address technical challenges.

• Monitor adoption rates, identify new workflows, and relay field insights to NVIDIA product teams.

• Cultivate relationships with executive and technical partners, ranging from C-suite sponsors to production developers.

• Promote NVIDIA software within partner executive, architect, research, and developer communities.

• Recognize integration opportunities in inference optimization, model training, recommender systems, kernel-level performance, and data processing.

• Advocate for partner needs within NVIDIA and influence product strategy and development roadmaps.

• Serve as NVIDIA’s primary contact to lead cross-functional teams in product, engineering, solutions architecture, developer relations, marketing, legal, sales, and ecosystem initiatives.

• Enhance upstream adoption in open-source projects and downstream adoption throughout the ecosystem.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Electrical Engineering, or a related discipline, or a Master’s degree or equivalent experience.

• Over 12 years of overall professional experience in the technology sector in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering.

• More than 3 years of hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and large-scale ranking, GPU kernel development, AI/ML software development, or data processing.

• Comprehensive understanding of large-scale AI infrastructure, including frontier model training and inference platforms, recommender and ranking systems, and data processing platforms.

• Technical expertise to engage with research and performance engineering teams as a peer, covering model architecture, kernel and attention implementations, distributed training and inference, and performance trade-offs.

• Demonstrated ability to structure and manage complex technical engagements, negotiate requirements, prioritize issues, and collaborate across sales, legal, product, and marketing teams.

• Capability to simplify complex technical concepts and communicate value propositions to developers and C-suite executives.

• Comprehensive experience in defining, integrating, building, and launching solutions to market with strategic partners or open-source communities.

• Proven experience in influencing partner product roadmaps.

• An MBA, MS, or PhD in computer science, electrical engineering, or a related field is an advantage.

• Familiarity with NVIDIA software libraries and platforms, such as CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, and TRT-LLM is a plus.

• Contributor or maintainer status in partner open-source projects like PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, and Presto/Velox is a significant advantage.

• Experience engaging with AI research organizations is a notable differentiator.

• Extensive experience working at or in collaboration with Meta is a significant plus.

🏝️ Benefits

• Competitive compensation.

• Comprehensive benefits package.

• Equity opportunities.

• Additional benefits.