Tech Engagement Lead

🔥 13 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

✨ Tech Lead

👻 Ghost score 11%

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

• Engage with senior technical leaders and research teams at AI model builders • Demonstrate and optimize NVIDIA's complete accelerated computing stack for end-to-end generative AI workflows • Serve as a primary technical point of contact • Integrate NVIDIA GPU architectures, DGX systems, InfiniBand, CUDA-X libraries, NeMo frameworks, and TensorRT into training and inference pipelines • Define technical objectives, performance breakthroughs, and timelines with partner AI engineering and research teams • Represent partner software needs to NVIDIA product and engineering teams • Contribute to product roadmap decisions using findings from large-scale model training and inference environments • Identify cross-industry patterns and advocate for improvements to NVIDIA technologies • Conduct regular cadence meetings, document insights, track progress, and provide internal reporting • Share methodologies for crafting and optimizing scalable generative AI model development pipelines • Stay current with NVIDIA hardware, libraries, and system updates and share relevant optimizations with partners • Advocate for NVIDIA GPU systems and software within assigned model-builder partners

🎯 Requirements

• B.S. degree or equivalent experience • 7+ years of experience in technical product or engineering roles, focused on AI/ML, high-performance computing, or distributed systems • Extensive experience with platforms supporting large-scale AI/ML training and inference workloads, including distributed systems, data infrastructure, and GPU cluster technologies • Hands-on knowledge of large model architectures such as Transformers and Diffusion Models • Familiarity with PyTorch, JAX, CUDA, cuDNN, NCCL, TensorRT, and NeMo • Understanding of model customization, distributed training, and inference orchestration • Strong understanding of GPU cluster management, high-speed networking, parallel file systems, and on-premise and cloud deployment • Understanding of how large model builders operate at scale • Proven ability to communicate with and influence senior engineering and research leadership • Ability to connect with engineers, researchers, executives, and multifunctional teams • Hands-on experience with LLMs, diffusion models, distributed training frameworks, and advanced optimization techniques • Understanding of large-scale system performance optimization, Kubernetes, and Cloud Native technologies for AI workloads