Key technologies and capabilities for this role
Common questions about this position
A BSc or MSc in Electrical or Electronics Engineering is required, with exposure to mechanical systems being a plus.
Candidates need hands-on experience in hardware design or validation, preferably in server, networking, or embedded systems, along with 3+ years working with ECO/ECR processes, board/system-level design, or sustaining engineering.
NVIDIA fosters a culture that thrives on innovation, collaboration, and pushing the boundaries of technology, where you'll work alongside top minds in hardware and systems engineering on products impacting data centers and AI workloads.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates will have solid understanding of mechanical interfaces, thermal considerations, familiarity with DFT principles and signal integrity, strong analytical skills, attention to detail, and excellent communication skills.
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.