Key technologies and capabilities for this role
Common questions about this position
A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent is required, along with 10+ years of experience in the embedded domain including 5+ years in leadership roles.
Candidates need deep understanding of SoC principles, systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling, plus experience in device drivers and firmware on Linux or QNX, and excellent C/C++ skills.
This information is not specified in the job description.
This information is not specified in the job description.
A proven track record of leading cross-functional software teams in fast-paced environments, outstanding leadership, creative problem-solving, and experience mentoring team members' professional development are key.
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.