Key technologies and capabilities for this role
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Required skills include deep expertise in embedded firmware, server management controllers, hardware bring-up, DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), and expert-level C/C++ in embedded environments with RTOS and device drivers.
NVIDIA has forward-thinking, hardworking, creative, and self-motivated people, with a team of highly motivated and experienced program managers driving successful product introductions.
Ways to stand out include knowledge of cloud and cluster level deployment systems, experience with GPU computing (CUDA) and deep learning workloads, and knowledge of Memory fabric and CXL architectures.
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.