NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Senior Machine Learning Infrastructure Engineer - DGX Cloud
July 10
🏄 California – Remote
💵 $148k - $287.5k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
📋 Description
• Scale up AI Infrastructure at NVIDIA • Contribute to automation of datacenter operations • Implement monitoring and health management capabilities • Build automated test infrastructure • Ensure seamless software integration across engineering teams • Constantly innovate and discover new solutions
🎯 Requirements
• 5+ 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) • Strong background of Linux system administration and management • Background with 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
🏖️ Benefits
• equity • benefits
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