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# Senior Software Engineer, Cloud Infrastructure

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, Computer Engineering, Distributed Systems, Job Scheduling, Machine Learning, Object-Oriented Software Development, Performance Tuning, Cloud Services, Kubernetes, Information Technology, Data Analytics
- **Published:** October 14, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--Cloud-Infrastructure_JR2027101-1

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
 * 8+ years of infrastructure development experience, including delivering scalable cloud solutions from concept to production.
 * Strong object-oriented programming skills in Java or Go.
 * Background in artificial intelligence, machine learning, and data analytics, with the ability to apply these techniques to infrastructure.
 * Ability to diagnose complex distributed systems issues and drive root-cause resolution.
 * Effective collaboration across engineering teams and time zones, with ownership of customer needs and production outcomes.

Ways to stand out from the crowd:

 * A track record of operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency.
 * Hands-on work with Kubernetes, container orchestration, and multi-cluster or multi-region environments.
 * Success building observability, alerting, and automated remediation systems that reduce operational toil.
 * Expertise in capacity planning, performance tuning, and preparing rapidly growing platforms for production.
 * Demonstrated ownership of ambiguous infrastructure challenges, from solution design through ongoing operation and continuous improvement.

## Description

* Design, build, and operate scalable cloud services for job execution, resource management, and storage.
 * Solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery.
 * Develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work.
 * Build observability, monitoring, and remediation capabilities to improve platform reliability and diagnose production issues.
 * Partner with engineering teams to understand customer needs and deliver solutions from concept through production.
 * Drive capacity planning, performance optimization, and production readiness as the platform grows.