Tech Engagement Lead, AI Labs

📋 Description

• Build trusted technical relationships with senior research, engineering, and infrastructure leaders
• Track developments across frontier AI research, model architectures, training and post-training
• Identify future AI workloads, use cases, and infrastructure requirements early, engaging with
• Help partners adopt and optimize GPU platforms, systems, networking, and software libraries across
• Collaborate with hardware and software product teams to communicate partner requirements, identify
• Support the technical assessment of emerging AI labs by evaluating their technical capabilities

🎯 Requirements

• Bachelor's degree or equivalent practical experience in a technical discipline, with an advanced
• At least 8 years of experience across AI research, AI infrastructure, distributed systems, GPU
• Strong current knowledge of frontier AI research, model development, training, post-training
• Practical experience with GPU platforms and AI software ecosystems, including CUDA, CUDA-X, NCCL
• Experience working with large-scale GPU clusters, high-speed networking, distributed storage
• Ability to understand complex model-builder architectures, identify technical bottlenecks, and

🎁 Benefits

• Opportunity to work directly with leading AI research labs and model builders on some of the most
• Significant technical and strategic impact through contributions to future AI infrastructure
• Exposure to cutting-edge technologies spanning GPU computing, AI software, distributed systems
• Highly cross-functional environment offering collaboration with engineering, product, sales
• Opportunity to influence the development and adoption of next-generation AI platforms and help
• Professional growth through high-impact technical engagements, strategic initiatives, and exposure