Cloud Engineer Jobs in Santa Clara, CA
Cloud Engineer jobs in Santa Clara are concentrated across semiconductor, cloud infrastructure, and enterprise software sectors, with major activity in the Central Expressway corridor, the Lawrence Expressway tech cluster, and around the Great America district. Employers actively hiring include NVIDIA, Palo Alto Networks, and Picarro. Scan the live roles below and apply to whichever ones fit.
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NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. We are looking for Senior Software Engineers to help build the automation, tooling, and operational systems that make GPU clusters reliable, scalable, and safe to run. This role is part of a production engineering team focused on Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, and Day 2 operability across DGX Cloud environments.
What you’ll be doing:
- Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.
- Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
- Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
- Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
- Participate in on-call, incident response, debugging, and durable follow-up work.
- Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.
What we need to see:
- 8+ years of experience building or operating production infrastructure.
- Strong programming skills in Python, Go, or similar.
- Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
- Ability to troubleshoot distributed systems in production.
- Clear communication and ability to work across teams.
- BS/MS in Computer Science or equivalent experience.
Ways to stand out from the crowd:
- Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
- Experience with SLOs, on-call, incident response, observability, and reliability practices.
- Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 329+ Cloud Engineer Jobs in Santa Clara
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Find Cloud Engineer JobsCloud Engineer Job Market in Santa Clara
Who's Hiring
- NVIDIA186

- Palo Alto Networks86

- Picarro14

- Fortinet14

- GlobalFoundries14

Top Industries Hiring
- Technology & Software43
- Law & Legal Services14
- Electronics & Hardware14
Cloud Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a cloud engineer job in Santa Clara?
Focus your search on Santa Clara's semiconductor giants, cloud platform divisions, and enterprise software companies concentrated along the Central Expressway corridor and near the Intel campus footprint. Hands-on experience with AWS, Azure, or Google Cloud matters more here than credentials alone. Certifications like AWS Solutions Architect or Google Professional Cloud Engineer give you a concrete edge with the hiring teams that dominate this market.
Which companies hire cloud engineers in Santa Clara?
Companies currently hiring cloud engineers in Santa Clara include NVIDIA, Palo Alto Networks, and Picarro, per current listings on Migrate Mate as of September 2026. Santa Clara's employer mix skews heavily toward chip manufacturers, hyperscale cloud platform teams, and enterprise infrastructure vendors with deep on-site engineering operations.
Are there remote cloud engineer jobs in Santa Clara?
Yes, though cloud engineering in Santa Clara tilts toward hybrid rather than fully remote, since many roles support on-premises infrastructure or collaborate closely with hardware and silicon teams. About 0% of cloud engineer openings tied to Santa Clara are remote or hybrid as of September 2026, with the fully remote subset strongest in DevOps, platform engineering, and cloud architecture roles that don't require lab access.
How can I get a cloud engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is targeting associate cloud engineer or cloud operations roles at mid-size enterprise software companies and infrastructure vendors, which hire more entry-level than the large semiconductor firms. Building a portfolio on a free-tier cloud environment and earning one vendor certification before applying puts you ahead of most entry-level candidates in this market. Internship pipelines at Santa Clara's technology vendors are another reliable door in.
Which industries hire the most cloud engineers in Santa Clara?
Santa Clara cloud engineer roles concentrate in Technology & Software, Law & Legal Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. Santa Clara's unique density of semiconductor manufacturers, cloud platform divisions, and enterprise networking companies creates sustained demand for cloud engineers across both product development and internal infrastructure functions.
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