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Key skills for this role
Lead technical engagements: Build trusted relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model builders. Serve as a primary technical point of contact across NVIDIA and the partner organization.
Understand the latest AI developments: Track frontier research, model architectures, training methods, post-training, inference systems, agents, world models, robotics, vision, and other emerging AI workloads. Translate relevant developments into NVIDIA opportunities.
Discover and define future workloads: Identify the next workloads, use cases, and technical requirements that will shape AI infrastructure. Engage early—before architectures, interfaces, and platform decisions are fixed.
Drive platform integration: Help partners adopt and optimize NVIDIA GPUs, systems, networking, and software libraries across their development pipelines. This may include CUDA, CUDA-X, NCCL, TensorRT-LLM, NeMo, Transformer Engine, CUTLASS, vLLM, SGLang, and related technologies.
Influence NVIDIA’s platform roadmap: Work with NVIDIA hardware and software product teams to communicate partner requirements, identify cross-lab patterns, and influence improvements from silicon through systems, libraries, frameworks, and scalable serving.
Support technical assessment of new AI labs: Work cross-functionally with Corporate Development, NVentures, VC Alliances, and other NVIDIA teams to assess the technical capabilities, infrastructure needs, strategic relevance, and collaboration potential of emerging AI labs.
Develop collaboration strategies: Help define technical objectives, integration plans, milestones, success criteria, and partner-specific roadmaps. Draft technical collaboration agreements and related working documents in partnership with the appropriate NVIDIA teams.
Celebrate joint success: Partner with Marketing, Events, Communications, and PR to identify and develop opportunities to showcase successful collaborations through GTC, developer blogs, product announcements, case studies, panels, demos, and other public or partner-facing activities.
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B.S. degree or equivalent experience; an advanced degree in computer science, electrical engineering, machine learning, or a related research or technical field is preferred.
8+ years of experience in AI research, AI infrastructure, distributed systems, GPU computing, technical product management, or engineering.
Current understanding of frontier AI research, model development, training, post-training, inference, and emerging AI workloads.
Practical understanding of GPU platforms and AI software libraries, including CUDA, CUDA-X, NCCL, PyTorch or JAX, and relevant training or inference systems.
Experience with large-scale GPU clusters, high-speed networking, distributed storage, workload orchestration, performance optimization, and cloud or on-premises infrastructure.
Ability to understand complex model-builder architectures, identify technical bottlenecks, and translate them into actionable engineering and product requirements.
Excellent written and verbal communication skills, including the ability to explain complex technical subjects clearly to technical and non-technical audiences.
Ability to operate effectively across NVIDIA Product, Engineering, Sales, Marketing, Events, PR, Corporate Development, NVentures, and executive teams.
Hands-on experience with large language models, multimodal models, diffusion or video models, reinforcement learning, agents, world models, robotics, or other frontier workloads.
Experience working below the framework layer with CUDA kernels, communication libraries, compilers, memory movement, precision, or performance optimization.
A track record of turning research or infrastructure insights into product requirements, platform improvements, technical integrations, public technical content, or joint customer success.
Strong curiosity, sound technical judgment, and the ability to stay current as the AI landscape evolves.
Ability to thrive in a startup mindset and dynamic environment, adapting quickly to evolving AI landscapes.
This role is an opportunity to help frontier AI labs build their most ambitious systems on NVIDIA, while shaping the next generation of NVIDIA’s hardware and software platform. You will help discover new workloads, influence the platform, scale technical learning across model builders, and elevate the joint successes that demonstrate what NVIDIA and its partners can achieve together.
Join NVIDIA at a crucial time as we pioneer Generative AI growth. We are in the infancy stage of building and scaling our Generative AI business for large model development. This role offers a unique opportunity to join this rapid expansion. NVIDIA's hardware, systems, and software libraries are at the heart of this growth. They empower large model builders to revolutionize their operations with powerful AI capabilities. This is your chance to be a key member of a team that will shape the future of AI model development, working with the world's leading AI research labs and the most innovative technologies. Your contributions will directly impact the trajectory of our Generative AI success, making this an unparalleled opportunity for professional growth and significant impact.
Computing platform company for AI and accelerated graphics.
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Senior · 8+ years experience
Remote
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