Systems Software Engineer, Kubernetes Scale - DGX Cloud

Requirements:

• 2+ years of experience in Computer Architecture, Networking, Storage systems, and Accelerators
• Bachelors/Masters in Engineering (preferably Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience
• Expertise in Kubernetes and familiarity with 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 in both training and inference domains
• Expertise with at least one public CSP infrastructure (GCP, AWS, Azure, OCI, for example)

Nice to Haves:

• Strong operational experience with any one of the 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
• PhD in relevant areas

What you'll be doing:

• 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 clearly and concisely
• Engage efficiently with upstream communities to validate performance and scalability of AI workloads

Perks and Benefits:

• NVIDIA is widely considered to be one of the technology world’s most desirable employers
• Opportunity to work with forward-thinking and hardworking people
• Base salary determined based on location, experience, and similar positions