
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.
🕒 July 28
🏄 California, Texas, +1 more states – Remote
💵 $152k - $287.5k / year
⏰ Full Time
🟠 Senior
⛓️ Blockchain Engineer
🦅 H1B Visa Sponsor
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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.
• Designing and developing a massively distributed scalable platform used to identify, diagnose and remediate non-performant GPU assets • Working with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance • Evaluating system failures and improving services based on a well-defined incident management process • Be part of a DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads
• 5+ years in similar role and experience on large-scale production systems • Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work • Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms • BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience • Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
• equity • benefits
Apply Now🕒 July 28
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