Tech Engagement Lead, AI Labs - EMEA

NVIDIA
France, United Kingdom
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Written and verbal communication","Technical judgment","Curiosity","Ability to explain complex technical subjects"]

Partner with frontier AI labs and model builders to deepen integration of NVIDIA’s AI platform across GPUs, systems, and software libraries. Own technical engagements as the primary point of contact, translate emerging research and workload needs into actionable partner requirements, and influence NVIDIA roadmap decisions from silicon through scalable serving. Help define collaboration plans and support technical assessments for new labs, working across NVIDIA engineering, product, corporate development, and go-to-market teams to drive joint success.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Tech Engagement Lead, AI Labs - EMEA

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Last checked: 7 hours agoStatus: Live

Job Summary

Partner with frontier AI labs and model builders to deepen integration of NVIDIA’s AI platform across GPUs, systems, and software libraries. Own technical engagements as the primary point of contact, translate emerging research and workload needs into actionable partner requirements, and influence NVIDIA roadmap decisions from silicon through scalable serving. Help define collaboration plans and support technical assessments for new labs, working across NVIDIA engineering, product, corporate development, and go-to-market teams to drive joint success.
Location: France, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead technical engagements by building trusted relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model builders.
  • •Track and translate frontier AI developments into NVIDIA opportunities across training, post-training, inference, and emerging workloads.
  • •Drive platform integration by helping partners adopt and optimize NVIDIA GPUs, systems, networking, and software libraries across their development pipelines.
  • •Influence NVIDIA’s platform roadmap by communicating partner requirements and identifying improvement opportunities from silicon through libraries and scalable serving.
  • •Develop collaboration strategies and technical assessment support for new AI labs, including objectives, integration plans, milestones, and collaboration documents.

Key Requirements

  • •B.S. degree or equivalent experience; advanced degree preferred in computer science, electrical engineering, machine learning, or related technical fields.
  • •8+ years of experience in AI research, AI infrastructure, distributed systems, GPU computing, technical product management, or engineering.
  • •Current understanding of frontier AI research and the full lifecycle (training, post-training, inference, and emerging workloads).
  • •Practical understanding of GPU platforms and AI software libraries, including CUDA, CUDA-X, NCCL, PyTorch or JAX, and relevant training/inference systems.
  • •Experience with large-scale GPU clusters, high-speed networking, distributed storage, workload orchestration, and performance optimization across cloud or on-prem infrastructure.
Experience:8+ yearsAI researchAI infrastructureDistributed systemsGPU computingTechnical product management
Education:Bachelor's in computer science, electrical engineering, machine learning, or a related research or technical field
Skills:Written and verbal communicationTechnical judgmentCuriosityAbility to explain complex technical subjects
Tech Stack:CUDACUDA-XNCCLTensorRT-LLMNeMoTransformer EngineCUTLASSVLLMSGLangPyTorchJAXCUDA kernelsCompilers

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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