7 days ago
Responsibilities
- Develop and demonstrate generative AI solutions using hyperscaler infrastructure and NVIDIA software and hardware technologies.
- Work with customers and hyperscaler partners to understand technical challenges and provide NVIDIA-based solutions.
- Analyze and optimize GPU-accelerated training and inference pipelines for performance.
- Collaborate with Engineering, Product, Sales, and Marketing teams to address developer challenges and inform product development through customer feedback and proof-of-concept evaluations.
- Build industry expertise and contribute to integrating NVIDIA technology into enterprise computing architectures.
- Engage with developers, researchers, data scientists, IT managers, and senior leaders to present and evangelize technical solutions.
Requirements
- 5+ years of experience as a Solutions Architect, Solutions Engineer, or in a similar AI-related field.
- MS, PhD, or equivalent in Computer Science, Data Science, Electrical or Computer Engineering, Physics, Mathematics, or another engineering field.
- Academic or industry experience in machine learning, deep learning, and/or data science.
- Expertise deploying large-scale training and inference pipelines on hyperscaler infrastructure, particularly GCP.
- Strong verbal, written, presentation, and technical communication skills in English.
- Ability to work across Engineering, Product, Sales, and Marketing organizations.
- Experience with hyperscaler platforms such as GCP.
- Experience running and optimizing large-scale distributed deep learning training.
- Experience optimizing inference pipelines, including model compression, model compilation, or model serving techniques.
- Experience with large transformer-based architectures.
- Experience with DevOps technologies such as Docker, Kubernetes, or Singularity.
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.