Senior Distributed Systems Engineer for AI GPU Clusters

NVIDIA Corporation; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology company is hiring a Senior Software Engineer for their DGX Cloud to develop and manage production systems for GPU clusters used in AI workloads. Candidates should have over 5 years of software engineering experience, expertise in Kubernetes, and proficiency in programming languages like Go and Python. This position offers a unique opportunity to tackle complex challenges in high-performance computing.

Qualifications

• 5+ years of software engineering experience in a technical organization.
• Experience with Kubernetes APIs and frameworks.
• Proficiency in a systems programming language (Go, Python).

Responsibilities

• Develop and manage production systems for scalable GPU clusters.
• Implement monitoring and health management for GPU assets.
• Collaborate with cross-functional teams to improve AI clusters.

Skills

Software engineering experience

Proficiency in Go

Proficiency in Python

Experience with Kubernetes

Education

BS in Computer Science or equivalent

Job description

A leading technology company is hiring a Senior Software Engineer for their DGX Cloud to develop and manage production systems for GPU clusters used in AI workloads. Candidates should have over 5 years of software engineering experience, expertise in Kubernetes, and proficiency in programming languages like Go and Python. This position offers a unique opportunity to tackle complex challenges in high-performance computing.