Senior Solutions Architect – Large Scale AI Training

NVIDIA
France, Switzerland, Poland, Spain, United Kingdom
Workplace: RemoteFull timePLN 292,500 - 507,000Function: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: mastersSkills: ["Communication","Collaboration","Customer engagement","Technical relationship management"]

Serve as the primary technical expert for EMEA AI organizations building large-scale foundation models. Partner with customers to define the software stack and infrastructure for large-scale training and post-training workflows, including reinforcement learning. Advise on distributed training strategies and optimize training/finetuning efficiency at scale using NVIDIA’s training stack (including Nemotron) and frameworks like PyTorch, Megatron-LM, and NeMo. Collaborate with product and research teams and help energize the developer community through demos and hackathons.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solutions Architect – Large Scale AI Training

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Last checked: 6 hours agoStatus: Live

Job Summary

Serve as the primary technical expert for EMEA AI organizations building large-scale foundation models. Partner with customers to define the software stack and infrastructure for large-scale training and post-training workflows, including reinforcement learning. Advise on distributed training strategies and optimize training/finetuning efficiency at scale using NVIDIA’s training stack (including Nemotron) and frameworks like PyTorch, Megatron-LM, and NeMo. Collaborate with product and research teams and help energize the developer community through demos and hackathons.
Location: France, Switzerland, Poland, Spain, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and manage strategic technical relationships with leading EMEA AI model builders.
  • •Collaborate with customers to define the software stack and infrastructure for large-scale training and post-training workflows, including reinforcement learning.
  • •Provide expertise on distributed training strategies and guide efficient large-scale training and post-training recipes using deep learning frameworks.
  • •Help customers optimize training/finetuning efficiency at scale, including GPU utilization, communication overlap, and memory management.
  • •Collaborate with NVIDIA product and research teams and support the developer community with hackathons, demos, and technical conferences.

Pay and Benefits

Salary: PLN 292,500 - 507,000

Key Requirements

  • •MS or PhD in Computer Science, Engineering, or equivalent experience.
  • •Over 7 years of practical experience in distributed AI training, including direct involvement with HPC and/or AI environments with multi-node GPU clusters.
  • •Solid understanding of training infrastructure and how it affects efficiency and scalability.
  • •Strong proficiency with Megatron-LM, NeMo, or equivalent distributed training frameworks.
  • •Excellent communication skills to engage both research scientists and infrastructure engineers.
Experience:7+ yearsHPCDistributed trainingAIDeep learningFoundation modelsMixture-of-ExpertsReinforcement learning
Education:Master's in Computer Science, Engineering
Skills:CommunicationCollaborationCustomer engagementTechnical relationship management
Tech Stack:NemotronMegatron-LMNeMoPyTorchReinforcement LearningRLHFRLVRLatentMoEDeep LearningHPCMoERL/GymSpeculative decoding

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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