AI Applications Architect
Turing- Full Time
- Senior (5 to 8 years)
Candidates should possess an MS/PhD in Computer Science, Engineering, Computational Science/Physics, or a related technical field, along with 5+ years of experience in AI, ML, DL, and/or Generative AI. They should also have 5+ years of industrial experience in power systems, solid skills in PyTorch, familiarity with containers and numerical libraries, and experience using HPC systems and GPUs.
The Solution Architect will work on technical projects with industry and public sector organizations, supporting the power industry business development and sales team, and communicating with product and engineering to build solutions aligned with customer requirements. They will also support the development of power generation and distribution use-cases, keep learning about HPC and AI innovations, and educate customers on using NVIDIA GPUs and platforms.
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.