NVIDIA
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Senior Solutions Architect – Large Scale AI Training

292.5k - 507k PLN/ rok.UoP
SeniorFull-time·Umowa o pracę
#430205·Dodano wczoraj·3
Źródło: NVIDIA
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Tech Stack / Keywords

AINetworksGoPyTorchNode

Firma i stanowisko

NVIDIA is a leading technology company engaged in supporting top EMEA AI natives and research institutions in training and post-training AI models, focusing on large Mixture-of-Experts (MoE) models and large-scale distributed training.

Wymagania

  • 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 its effects 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.

Nice to have:

  • Experience in fine-tuning with Reinforcement Learning (RLVR, RLHF) at scale.
  • Experience with LatentMoE, expert load balancing, and speculative decoding for MoE inference.
  • Prior experience in an AI Datacenter/HPC center, national lab, or frontier AI lab environment.
  • Published work or open-source contributions in distributed training.

Obowiązki

  • Build and manage strategic technical relationships with leading EMEA AI model builders developing large-scale foundation models.
  • Collaborate closely with customers to define software stack and infrastructure for large-scale training and post-training workflows, including Reinforcement Learning (RL).
  • Serve as the go-to expert on distributed training strategies, guiding customers through efficient large-scale training and post-training recipes using Deep Learning Frameworks such as PyTorch, Megatron-LM, or NeMo (RL/Gym).
  • Help customers optimize training and fine-tuning efficiency at scale, including GPU utilization, communication overlap, and memory management.
  • Collaborate with NVIDIA's product and research teams to present customer needs.
  • Animate the developer community by building or supporting hackathons, demos, and technical conferences.

Benefity

  • Highly competitive salaries.
  • Comprehensive benefits package.
Premie

Inne informacje

NVIDIA is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic by law.

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