
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 June 1
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Own system architecture for inference stack and other applications running on this class of products • Co-architect with the orbital hardware system architecture team • Define the manageability architecture for an unreachable, autonomous data center • Architect rad-tolerant system software behaviors • Drive Redfish, MCTP, PLDM, and constellation-level management protocols • Partner with cloud and constellation customers to translate mission requirements • Drive reliability and optimization in the system software architecture • Own quality, reliability, and telemetry performance of the system software
• 15+ years of relevant experience in server/platform system software • BS, MS, or PhD in EE/CS or related field of education (or equivalent experience) • Working experience in building AI infrastructure and systems in space • Strong knowledge of server architecture • Hands-on experience with data center health management workflows • Solid understanding of hardware management interfaces • Strong and demonstrable skill in C/C++ and Python • Experience programming and debugging server platforms
• equity • Health insurance • retirement plans • paid time off
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