Principal Data Architect
Access SystemsFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
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The role requires deep expertise in scalable server system architecture focusing on SW/HW interfaces, extensive experience with complex system software for accelerators like GPUs and DPUs, mastery of system firmware such as SBIOS and OpenBMC, proficiency in management protocols like MCTP and Redfish, and extensive networking knowledge including TCP/IP and InfiniBand, plus 20+ years in system architecture.
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Strong candidates will have 20+ years in system architecture and design, a BS or MS in Computer Science or Electrical Engineering, demonstrated success leading complex cross-functional projects without direct authority, and experience implementing left shift strategies to de-risk programs.
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.