
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.
🕒 6 days ago
🏄 California – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
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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.
• Contribute to a platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers • Build end-to-end automation of datacenter operations, break/fix, and lifecycle management for large-scale Machine Learning systems • Implement monitoring and health management capabilities that enable reliability, availability, and scalability of GPU assets • Manage NVLINK topography across GPU clusters • Build automated test infrastructure to qualify distributed systems for operation • Collaborate with engineering teams to ensure software integration from hardware to AI training applications
• 10+ years of software engineering experience on large-scale production systems • BS in Computer Science/Engineering/Physics/Mathematics or other comparable Degree or equivalent experience • Expert level knowledge of a systems programming language (Go, Python) • Expert level knowledge of Linux system administration and management • Understanding of cluster management systems (Kubernetes, SLURM) • Understanding of performance, security and reliability in complex distributed systems • Familiarity with system level architecture, data synchronization, fault tolerance and state management
• Eligible for equity and benefits
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