Senior Software Engineering Jobs in Santa Clara, CA
Senior Software Engineering jobs in Santa Clara are in high demand, concentrated in the central business core near Great America Parkway, the Mission College corridor, and the tech-dense zones bordering the Lawrence Expressway. Semiconductor, cloud infrastructure, and enterprise software firms dominate, and employers hiring right now include NVIDIA, Everpure, and Qualcomm. Find a role that fits below and apply directly.
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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.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 92 Senior Software Engineering Jobs in Santa Clara
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Find JobsSenior Software Engineering Job Market in Santa Clara
Who's Hiring
- NVIDIA28
- Everpure28
- Qualcomm21
- Infoblox7
- Atomic Machines7
Top Industries Hiring
- Technology & Software
Senior Software Engineering Jobs in Santa Clara: Frequently Asked Questions
How do I get a senior software engineering job in Santa Clara?
Focus your search on Santa Clara's strongest hiring sectors: semiconductor design, cloud platform engineering, and enterprise SaaS. Companies clustered near Great America Parkway, the Mission College corridor, and the Lawrence Expressway area post the most senior roles. Candidates with distributed systems, VLSI, or platform infrastructure experience stand out in this market. Tailoring your background to hardware-adjacent or cloud-scale challenges gives you a clear edge over generalist applicants.
Which companies hire senior software engineerings in Santa Clara?
Santa Clara senior software engineering roles are posted by NVIDIA, Everpure, and Qualcomm and others right now, based on current listings on Migrate Mate as of September 2026. The city is home to a dense mix of global semiconductor leaders, hyperscaler divisions, and fast-scaling SaaS companies, making it one of the most employer-rich corridors in the Bay Area for senior engineering talent.
Are there remote senior software engineering jobs in Santa Clara?
Yes, though it depends on the specialization. Senior software engineering is relatively remote-friendly for roles in backend, cloud, and platform work, while hardware-adjacent and chip design positions typically require on-site presence. About 50% of senior software engineering openings tied to Santa Clara are remote or hybrid as of September 2026, reflecting broader flexibility at the senior level. Cloud infrastructure and SaaS product roles tend to offer the most remote options locally.
How can I get a senior software engineering job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate or software engineer one roles at mid-size SaaS companies and semiconductor firms that run structured engineering rotations. Many Santa Clara employers, particularly those with large R&D footprints, hire new engineers into platform or tooling teams before promoting into senior tracks. Building depth in systems programming, cloud-native development, or embedded software aligns well with what local employers value most at the junior-to-senior transition.
Which industries hire the most senior software engineerings in Santa Clara?
The sectors hiring the most senior software engineerings in Santa Clara are Technology & Software, based on current listings on Migrate Mate as of September 2026. Santa Clara's position as a global hub for semiconductor manufacturing, cloud infrastructure, and enterprise technology means these industries drive sustained, year-round demand for senior engineering talent rather than cyclical hiring spikes.
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