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Senior Solutions Architect – Large Scale AI Training

NVIDIA· Architect, Solutions
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Hybrid (Remote - France), Hybrid (Remote - Switzerland), Hybrid (Remote - Spain)Full-timePosted 1mo ago

About the role

Senior Solutions Architect focusing on large-scale distributed AI training and alignment of neural networks for EMEA AI model builders, guiding customers on NVIDIA’s training stack and influencing product roadmap.

Responsibilities

  • Build and manage strategic technical relationships with leading EMEA AI model builders.
  • Collaborate with customers to define software stack and infrastructure for large-scale training and post-training workflows (including RL).
  • Serve as the go-to expert on distributed training strategies for efficient large-scale training and post-training recipes using PyTorch, Megatron-LM, or NeMo (RL/Gym).
  • Help customers optimize training/finetuning efficiency at scale (GPU utilization, communication overlap, memory management).
  • Collaborate with NVIDIA product and research teams to represent customer needs.
  • Animate the developer community via hackathons, demos, and technical conferences.

Qualifications

  • MS or PhD in Computer Science, Engineering, or equivalent experience.
  • Over 7 years of practical experience in distributed AI training with multi-node GPU clusters (HPC and/or AI environments).
  • Solid understanding of training infrastructure and its impact on efficiency and scalability.
  • Strong proficiency with Megatron-LM, NeMo, or equivalent distributed training frameworks.
  • Excellent communication skills capable of engaging both research scientists and infrastructure engineers.

Skills

Required:Distributed trainingMegatron-LMNeMoPyTorch
Nice to have:RL/RLHF

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Diversity-focused inclusive work environment
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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