Senior Software Engineer, Cloud Infrastructure

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $171k
$109k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,462–$193,500.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Cloud Infrastructure

As a Senior Software Engineer, Cloud Infrastructure, you will join the private cloud team to build and operate infrastructure supporting software engineers across graphics, deep learning, autonomous vehicles, and Omniverse. You will design, build, and operate scalable cloud services for job execution, resource management, and storage while solving distributed systems challenges. Your daily work involves developing agentic workflows, building observability and monitoring capabilities, and managing Kubernetes, job scheduling, and multi-region services. You will utilize Java or Go to deliver scalable cloud solutions from concept to production. The role requires applying artificial intelligence, machine learning, and data analytics techniques to infrastructure. You will drive capacity planning and performance optimization to improve the reliability and efficiency of services that accelerate engineering across the organization.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • 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 to 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 deliver solutions from concept through production based on customer needs.
  • Drive capacity planning, performance optimization, and production readiness as the platform grows.

What we're looking for

  • 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 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.
  • Track record of operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency (preferred).
  • Hands-on work with Kubernetes, container orchestration, and multi-cluster or multi-region environments (preferred).

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