Senior AI Infrastructure Engineer – DGX Cloud

🔥 13 minutes ago

🇺🇸 United States – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

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

• Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platforms on cloud infrastructure • Conduct performance characterization and analysis on large multi-GPU and multi-node clusters • Improve the full service lifecycle from inception and design through deployment, operation, and refinement • Support services before launch through system design consulting, software tools, platforms, frameworks, capacity management, and launch reviews • Measure and monitor availability, latency, and overall system health of live services • Scale systems sustainably through automation and improve reliability and velocity • Practice sustainable incident response and blameless postmortems • Participate in an on-call rotation supporting production systems

🎯 Requirements

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience • 5+ years of experience • Track record balancing project initiation, collaboration, and stakeholder engagement • Background in infrastructure automation and distributed systems architecture for large-scale private or public cloud platforms in production • Experience with Python, Go, C/C++, or Java • Comprehensive understanding of Linux, Networking, Storage, and Containers Technologies • Experience with Public Cloud and Infrastructure as Code (IAAC) and Terraform • Distributed system experience • Interest in crafting, analyzing, and fixing large-scale distributed systems • Systematic problem-solving approach, strong communication skills, ownership, and drive • Capability to identify issues, improve code performance, and automate routine tasks • Experience operating or handling large private and public cloud systems based on Kubernetes or Slurm

🏖️ Benefits

• Equity • Benefits • Support and mentorship to foster learning and growth

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