Senior Software Engineer, AI Infrastructure Solutions - CA, Santa Clara, United States
$152,000 - $241,500 USD yearly
Originally posted 22 October 2026 by the employer.
Build agentic AI systems and infrastructure to automate silicon bring-up and GPU diagnostics workflows.
About the role
As a Senior Software Engineer, AI Infrastructure Solutions on NVIDIA's Modular Diagnostics team, you will build intelligent automation to speed up critical engineering workflows and improve GPU validation speed and quality. The team develops diagnostic applications and infrastructure used to test NVIDIA GPUs before launch.
What you'll do
- Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions to automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows. - Build scalable AI infrastructure, services, APIs, and reusable platforms that enable teams across NVIDIA to develop and deploy AI-powered applications. - Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows. - Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to define requirements, develop prototypes, and deploy production-ready solutions. - Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards. - Drive projects from concept through adoption, measure impact against success criteria, and improve efficiency.
What you'll need
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - 5+ years delivering production software, infrastructure, platform, or AI solutions. - Strong programming skills in Python and C/C++. - Track record of building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration. - Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure. - System-design and debugging skills with a history of shipping reliable production systems.
Skills: AI Infrastructure, Python, GPU Diagnostics, C++, Validation Automation
This role has been open 0 days — well below the 52-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1010
|
Median days open
52 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (1010 roles · 89 employers) |
|---|---|---|
| Open roles in this specialty | 291 | 1010 |
| Open roles in the wider Software, Firmware & Systems family | 995 | 6298 · 144 employers |
| Median days open | 51 d | 52 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: AI Infrastructure, Python, GPU Diagnostics, C++, Validation Automation
Who's hiring in this category
- NVIDIA (this employer) · 290 open roles · median 51 d
- Qualcomm · 65 open roles · median 50 d
- AMD · 58 open roles · median 24 d
- Graphcore · 50 open roles · median 98 d
- Intel Corporation · 48 open roles · median 13 d
- Cerebras · 35 open roles · median 88 d
How we counted: 1010 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 23 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
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