Kubernetes Scale Engineer for AI Infrastructure

NVIDIA; Polska; Sur place; PLN 176 000 - 384 000; Plein temps

Résumé du poste

NVIDIA's DGX Cloud organization seeks a Systems Software Engineer to scale AI infrastructure, focusing on distributed systems, Kubernetes, and performance across GPU, networking, and inference stacks. You will drive end-to-end performance characterization and collaborate with researchers, developers, and customers to simulate real workloads and validate improvements.

Join a team that builds automated tests, CI/CD pipelines, and monitoring tools while engaging with upstream communities to

Qualifications

• 2+ years of experience in Computer Architecture, Networking, Storage systems, Accelerators and Engineering degrees or equivalent experience.
• Expertise in Kubernetes and familiarity with CNCF projects
• Background in large-scale parallel and distributed accelerator-based systems
• Experience optimizing performance and AI workloads on large-scale systems
• Proficiency in Golang/Python
• Background with NVIDIA software ecosystem in training and inference domains
• Experience with public CSP infrastructure (GCP, AWS, Azure, OCI)

Responsabilités

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack.
• Collaborate with AI researchers, developers, and customers to develop 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 for Kubernetes clusters at ultra-large scale.
• Build and maintain a high-velocity CI/CD testing framework.
• Document research and present findings at internal/external venues (e.g., KubeCon, GTC).
• Engage with upstream communities to validate performance and scalability of AI workloads.

Connaissances

Kubernetes

Containers

Distributed systems

Golang

Python

Performance optimization

AI workloads

Formation

Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science

Master's degree in Engineering (preferred)

Outils

NVIDIA GPU Operator

NVIDIA DCGM

CI/CD pipelines

Description du poste

NVIDIA's DGX Cloud organization seeks a Systems Software Engineer to scale AI infrastructure, focusing on distributed systems, Kubernetes, and performance across GPU, networking, and inference stacks. You will drive end-to-end performance characterization and collaborate with researchers, developers, and customers to simulate real workloads and validate improvements.

Join a team that builds automated tests, CI/CD pipelines, and monitoring tools while engaging with upstream communities to