6 hours ago
Remote, EMEASenior
Responsibilities
- Build and manage strategic technical relationships with EMEA AI model builders developing large-scale foundation models.
- Define software stacks and infrastructure for large-scale training and post-training workflows, including reinforcement learning.
- Advise customers on distributed training strategies and training or post-training recipes using PyTorch, Megatron-LM, and NeMo.
- Optimize training and fine-tuning efficiency at scale, including GPU utilization, communication overlap, and memory management.
- Collaborate with NVIDIA product and research teams to communicate customer needs and influence the product roadmap.
- Support hackathons, demonstrations, technical conferences, and developer-community engagement.
Requirements
- MS or PhD in Computer Science, Engineering, or equivalent experience.
- Over seven years of practical experience in distributed AI training, including HPC or AI environments with multi-node GPU clusters.
- Strong understanding of training infrastructure and its effect on efficiency and scalability.
- Strong proficiency with Megatron-LM, NeMo, or equivalent distributed-training frameworks.
- Excellent communication skills for engaging research scientists and infrastructure engineers.
Benefits
- NVIDIA offers comprehensive benefits and competitive salaries.
- The base salary range for Poland is 292,500 PLN–507,000 PLN per year.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.