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
AI Infrastructure Engineer
October 31
🏄 California – Remote
💵 $224k - $425.5k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👷 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
• Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure. • Develop and optimize tools to improve infrastructure efficiency and resiliency. • Root cause and analyze and triage failures from the application level to the hardware level. • Enhance infrastructure and products underpinning NVIDIA's AI platforms. • Co-design and implement APIs for integration with NVIDIA's resiliency stacks. • Define meaningful and actionable reliability metrics to track and improve system and service reliability. • Skilled in problem-solving, root cause analysis, and optimization.
🎯 Requirements
• Minimum of 12+ years of experience in developing software infrastructure for large scale AI systems. • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. • Proven track record in building and scaling large-scale distributed systems. • Experience with AI training and inferencing and data infrastructure services. • Familiar in operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). • Proficiency in programming languages such as Python, C/C++, script languages.
🏖️ Benefits
• equity • benefits
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