Tech Engagement Lead, AI Labs

Job not on LinkedIn

🕒 September 9

🌐 France, United Kingdom – Remote

🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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 partner organizations • Track frontier research, model architectures, training methods, post-training, inference systems, agents, world models, robotics, vision, and emerging AI workloads • Identify future workloads, use cases, and technical requirements shaping AI infrastructure • Help partners adopt and optimize NVIDIA GPUs, systems, networking, and software libraries across development pipelines • Communicate partner requirements to NVIDIA hardware and software product teams and influence platform improvements • Support technical assessment of new AI labs with Corporate Development, NVentures, VC Alliances, and other NVIDIA teams • Define technical objectives, integration plans, milestones, success criteria, and partner-specific roadmaps • Draft technical collaboration agreements and related working documents • Partner with Marketing, Events, Communications, and PR to showcase successful collaborations through events, blogs, announcements, case studies, panels, and demos

🎯 Requirements

• B.S. degree or equivalent experience • 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 • 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 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

🏖️ Benefits

• Professional growth opportunity • Opportunity to shape NVIDIA’s hardware and software platform • Opportunity to work with leading AI research labs and innovative technologies • Significant impact on NVIDIA’s Generative AI business