Key technologies and capabilities for this role
Common questions about this position
A BS, MS, or PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) is required, along with 5+ years of work-related experience in technical leadership and architecting GPU accelerated computing solutions.
Candidates need a deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the LLM ecosystem, plus strong analytical and problem-solving skills with deep empathy for developers, and clear written and oral communication skills.
The role makes heavy use of conferencing tools, but some travel is required.
This information is not specified in the job description.
A passionate, focused, self-driven, and creative technologist with strong communication and teamwork skills, who stays organized, prioritizes goals, and thrives in a fast-evolving AI and accelerated computing environment.
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.