Key technologies and capabilities for this role
Common questions about this position
A Bachelor’s degree in Computer Science or similar is required, Master’s preferred, with 10+ years direct management experience in quality assurance teams and 5+ years hands-on software quality assurance or development.
Hands-on experience with Test automation Framework development using Selenium, Python, and Linux is required, along with experience managing BMC/SBIOS/FPGA firmware development and working with AI coding tools.
This information is not specified in the job description.
This information is not specified in the job description.
Familiarity with NVIDIA GPU hardware, CUDA, and Server products is a strong plus, along with experience in a fast-paced Agile/Scrum environment and demonstrated people management skills for high-performance teams.
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.