Key technologies and capabilities for this role
Common questions about this position
The position is full-time employment.
This information is not specified in the job description.
The role requires expertise in NVIDIA's Accelerated Compute Platforms, virtualization, Kubernetes, Docker, Run:AI, DevOps, and MLOps, along with domain knowledge in the retail industry.
You will be part of the North America Retail Solution Architecture Team, partnering with NVIDIA Engineering, Product, and Sales teams.
A strong candidate is passionate, hard-working, creative, with domain-specific knowledge in retail and experience architecting AI GPU platforms for data center and edge deployments.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.