HPC Engineer, AI and Data
RescaleFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The position requires 8+ years of enterprise/academic experience in the Artificial Intelligence and High Performance Computing domain.
A Master's degree in Science or Computer Engineering (or equivalent experience) is required.
Candidates must be fluent in using the NVIDIA accelerated computing stack for HPC and AI workloads.
This information is not specified in the job description.
This information is not specified in the job description.
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.