Senior Solutions Architect – First Time Deployment Networking InfiniBand

🔥 10 minutes ago

🏄 California, Texas, +2 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $148k - $235.8k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

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.

📋 Description

• Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first of kind NVIDIA hardware. • Be the domain authority with NVIDIA design engineering teams and external customers during planning calls through implementation. • Create and handover related documentation and perform knowledge transfers required to support customers as they roll out some of the most sophisticated systems in the world! • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

🎯 Requirements

• 6+ years providing in-depth support and deployment services; solving problems for hardware and software products. • Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring). • Experience in configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance (ibdiag, etc.) and UFM (Unified Fabric Manager.) • Experience with benchmarking tools such as HPL, NCCL tests, MLPERF. • Scripting proficiency (Bash, Python, Ansible, etc.) and Automation tooling background (Ansible, Puppet, etc.) • Familiarity with schedulers such as SLURM, LSF, UGE, etc. • Kubernetes experience. • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience.

🏖️ Benefits

• equity • benefits