AI Labs Engagement Lead

Jobgether; France; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Partner Company in France is seeking a Tech Engagement Lead for AI Labs. You will bridge frontier AI research, infrastructure, and product strategy, working with AI labs and model builders to translate research into scalable platform opportunities.

You will drive GPU platform adoption, optimize systems, networking, and AI software across demanding workloads, influencing roadmaps and collaboration strategies with cross-functional teams.

Qualifications

• Bachelor’s degree in a technical discipline; advanced degree preferred.
• 8+ years of experience across AI research, AI infrastructure, distributed systems, GPU computing, or related areas.
• Hands-on with GPU platforms and AI software ecosystems (CUDA, CUDA-X, NCCL, PyTorch/JAX).
• Experience with large-scale GPU clusters, high-speed networking, and cloud or on-prem infrastructure.

Responsabilités

• Build trusted technical relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model-building organizations.
• Track developments across frontier AI research, model architectures, training and post-training techniques, inference systems, agents, world models, robotics, and other workloads.
• Identify future AI workloads and infrastructure requirements early, engaging with partners before key decisions are finalized.
• Help partners adopt and optimize GPU platforms, systems, networking, and software libraries across pipelines.

Connaissances

Frontier AI

Cross-functional collaboration

Technical communication

Infrastructure knowledge

GPU computing

Formation

Bachelor's degree in technical field

Advanced degree in CS/EE/ML (preferred)

Outils

CUDA

CUDA-X

NCCL

PyTorch

JAX

Description du poste

Partner Company in France is seeking a Tech Engagement Lead for AI Labs. You will bridge frontier AI research, infrastructure, and product strategy, working with AI labs and model builders to translate research into scalable platform opportunities.

You will drive GPU platform adoption, optimize systems, networking, and AI software across demanding workloads, influencing roadmaps and collaboration strategies with cross-functional teams.