Senior Systems Software Engineer, Kubernetes Scale

This is a fully remote position, open to applicants in Poland.

📋 Description

• Lead comprehensive performance and scalability evaluation for the NVIDIA DGX Cloud software stack.

• Partner with AI researchers to create automated tests that replicate real user workloads.

• Analyze and identify root causes of performance challenges in distributed systems.

• Develop monitoring and analysis tools for performance assessments across software, GPU, and CPU resources.

• Diagnose, troubleshoot, and determine the root causes of issues related to operating Kubernetes clusters at an ultra-large scale.

• Construct and uphold a CI/CD framework to facilitate continuous performance testing.

• Record research methodologies and share insights at industry conferences.

• Collaborate with upstream communities to verify the performance of AI workloads.

⛳️ Requirements

• Over 8 years of professional experience.

• Proficient in Kubernetes with knowledge of related CNCF projects.

• Strong background in Computer Architecture, Networking, Storage Systems, and Accelerators.

• Bachelor's or Master's degree in Engineering (Electrical Engineering, Computer Engineering, or Computer Science).

• Demonstrated experience in optimizing performance and AI workloads on large-scale systems.

• Skilled in Golang and Python programming languages.

• Expertise in at least one major public cloud service provider infrastructure (GCP, AWS, Azure, OCI).

🏝️ Benefits

• Comprehensive health insurance.

• Retirement plan options.

• Paid time off for work-life balance.

• Flexible work arrangements to suit individual needs.

• Opportunities for professional development.