Datacenter Hardware Operations Technician, AI Compute Infrastructure -…
OpenAIFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
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Required skills include hands-on experience with software development and processes for system software/firmware, detailed knowledge of software engineering principles, experience with industry standard configuration management tools, and strength in working independently to resolve technical issues.
The team values passionate, hard-working, and creative people to achieve engineering goals, with opportunities to collaborate across diverse technical groups and organizational levels.
Strong candidates have solid ability to deliver complex Datacenter products to customers, experience with datacenter servers and SW technologies, proven experience resolving technical issues creatively, and the ability to think strategically while building consensus.
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.