Senior Systems Engineer, Artificial Intelligence Operations

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October 27

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NVIDIA

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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

• Bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions • Develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems • Deliver compelling technical presentations and lead hands-on demos or training • Handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey

🎯 Requirements

• Bachelor of Science or equivalent experience • 12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching • Proficient in scripting and automation using Python or similar languages, with strong Linux expertise • Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles • Exceptional oral, written, and presentation skills for clearly communicating complex technical topics • Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development