Senior Systems Software Engineer

The DGX Cloud organization at NVIDIA is seeking a Senior Systems Software Engineer with expertise in distributed systems, open-source technologies, and systems performance. You will drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, collaborate with AI researchers and developers, and optimize total cost of ownership.

Responsibilities:

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack
• Collaborate with AI researchers, developers, and customers to develop innovative, automated tests
• Deep dive into performance and scale issues in complex distributed systems
• Design and develop monitoring, reporting, and analysis tools for performance and scale testing
• Triage, debug, and root cause issues related to operating Kubernetes clusters at ultra-large scale
• Build and maintain a high-velocity framework for continuous performance and scale testing
• Document research, methodologies, and results, and present findings at internal and external venues

Requirements:

• 8+ years of experience in Computer Architecture, Networking, Storage systems, Accelerators
• Expertise in Kubernetes and related CNCF projects
• Background in working with large-scale parallel and distributed accelerator-based systems
• Expertise optimizing performance and AI workloads on large-scale systems
• Experience with performance modeling and benchmarking at scale
• Proficiency in Golang/Python
• Background with the NVIDIA software ecosystem
• Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI)

Preferred Qualifications:

• Strong operational experience with Kubernetes distributions
• Prior experience scaling Kubernetes clusters to ultra-large node and object counts
• Demonstrated history of working in the open-source community
• Excellent communication and interpersonal abilities