Senior Systems Software Engineer, Kubernetes Scale

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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

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack • Collaborate with AI researchers to develop automated tests simulating real user workloads • Investigate and resolve root causes of performance issues in distributed systems • Design monitoring and analysis tools for performance testing across software, GPU, and CPU resources • Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale • Build and maintain CI/CD framework for continuous performance testing • Document research methodologies and present findings at conferences • Engage with upstream communities to validate performance of AI workloads

🎯 Requirements

• 8+ years of experience • Expertise in Kubernetes and familiarity with related CNCF projects • Background in Computer Architecture, Networking, Storage systems, Accelerators • Bachelor's/Master's in Engineering (Electrical Engineering, Computer Engineering, or Computer Science) • Experience optimizing performance and AI workloads on large scale systems • Proficiency in Golang/Python • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI)

🏖️ Benefits

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