Senior Software Engineer

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 company is looking for a Senior Software Engineer, Distributed Systems Engineer - DGX Cloud.

Key Responsibilities

• Develop and manage production systems for scalable GPU clusters used in AI workloads
• Implement monitoring and health management for GPU assets to ensure reliability and performance
• Collaborate with cross-functional teams to maintain and improve production AI clusters

Required Qualifications

• 5+ years of software engineering experience in a technical organization with impactful work
• Experience with Kubernetes APIs and frameworks, not just cluster operations
• BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
• Proficiency in a systems programming language (Go, Python) and understanding of data structures and algorithms
• Experience with large-scale production systems and software engineering principles