Senior Solutions Architect – AI Compute

🕒 April 13

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Logo of NVIDIA

NVIDIA

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 Compute/HPC infrastructure in Linux-based environments for new and existing customers. • Be the domain expert with partners during planning calls through implementation. • Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! • Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

🎯 Requirements

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. • Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). • Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. • Scripting proficiency (Bash, Python, Ansible, etc.). • Experience with schedulers such as SLURM, LSF, UGE, etc. • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. • An ability to travel to customer sites within the United States up to 30% of the time. • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

🏖️ Benefits

• equity • benefits

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