NVIDIA
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
Principal Software Engineer, Distributed Systems Engineer – DGX Cloud
🕒 June 25
🌲 North Carolina – Remote
💵 $272k - $431.3k / year
⏰ Full Time
🔴 Lead
⛓️ Blockchain Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 16%
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NVIDIA
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
📋 Description
• Part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters • Working on custom software related to scheduling GPU resources on kubernetes • Implementing monitoring and health management capabilities for reliability and scalability of GPU assets • Evaluating system failures and improving services based on incident management processes
🎯 Requirements
• 15+ years in similar role and experience on large-scale production systems • Software development experience with kubernetes APIs and frameworks • BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience • Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms
🏖️ Benefits
• Eligible for equity and benefits
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