AI Lab Engagement Lead — Frontier Models & Platform

NVIDIA; United States; Remote; USD 190,000 - 240,000; Full time

Job summary

NVIDIA seeks a technically strong Technical Engagement Lead to work with frontier AI labs and model builders, deepening integration across GPUs, systems, and software libraries into research, training, inference, and emerging AI workloads.

You will bridge AI discovery and product strategy, translate insights into technical collaborations, and influence platform roadmaps while coordinating with NVIDIA teams and external partners.

Qualifications

• 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.

Responsibilities

• Lead technical engagements: Build trusted relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model builders.
• 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.
• Discover and define future workloads: Identify the next workloads, use cases, and technical requirements that will shape AI infrastructure.
• Drive platform integration: Help partners adopt and optimize NVIDIA GPUs, systems, networking, and software libraries across their development pipelines.
• Influence NVIDIA’s platform roadmap: Communicate partner requirements and influence improvements from silicon through systems, libraries, frameworks, and scalable serving.
• Support technical assessment of new AI labs: Work with Corporate Development, NVentures, and other NVIDIA teams to assess capabilities and collaboration potential.
• Develop collaboration strategies: Define objectives, integration plans, milestones, success criteria, and partner roadmaps with NVIDIA teams.
• Celebrate joint success: Collaborate with Marketing, Events, Communications, and PR to showcase collaborations through GTC, blogs, and public case studies.

Skills

AI research

Distributed systems

GPU computing

Technical product management

Communication skills

Cross-team collaboration

Startup mindset

Strategic thinking

Education

Bachelor's degree or equivalent

Advanced degree preferred

Tools

CUDA

CUDA-X

NCCL

PyTorch

JAX

TensorRT-LLM

NeMo

Transformer Engine

Job description

NVIDIA seeks a technically strong Technical Engagement Lead to work with frontier AI labs and model builders, deepening integration across GPUs, systems, and software libraries into research, training, inference, and emerging AI workloads.

You will bridge AI discovery and product strategy, translate insights into technical collaborations, and influence platform roadmaps while coordinating with NVIDIA teams and external partners.