Senior Software Engineer, Platform Engineering - CA, Santa Clara, United States
Originally posted 5 October 2026 by the employer. Relisted by the employer on 21 October 2026.
About the role
NVIDIA is looking to hire a technical and hands-on Senior Full-Stack Software Engineer to build AI platforms and products that improve business efficiency and productivity. The role focuses on building systems using RAG, agentic AI paradigms, third-party platforms, and open-source repositories.
What you'll do
- Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows. - Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning. - Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions. - Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability. - Work with test automation, production testing, automation frameworks, Linux, embedded systems, firmware, and hardware/software integration. - Apply IT Service Management (ITSM) and ServiceNow knowledge across workflows while collaborating with cross-functional teams.
What you'll need
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). - 8+ years of experience building large-scale distributed systems and cloud-native applications, with Python preferred. - Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures. - Deep understanding of agentic AI paradigms, including planning, memory, tool invocation, and multi-step reasoning. - Experience with agent frameworks and orchestration tools such as LangChain or similar. - Hands-on experience deploying applications in Kubernetes environments across cloud and hybrid infrastructure.
Nice to have
- Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions. - Experience with Cloud Platforms, experience with Kubernetes and Docker.
Skills: AI platforms, agentic AI, test automation, Linux, embedded systems, hardware/software integration
This role has been open 200 days — well above the 158-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · Infrastructure Platform
|
Open roles in category
44
|
Median days open
158 d
|
Median salary
$210k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (44 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 44 |
| Open roles in the wider Software, Firmware & Systems family | 981 | 6250 · 144 employers |
| Median days open | 170 d | 158 d (+12 d vs this employer) |
| Median salary (USD postings) | — | $210k |
Skills observed across this category: AI platforms, agentic AI, test automation, Linux, embedded systems, hardware/software integration
Who's hiring in this category
- Applied Materials · 9 open roles · median 183 d
- KLA Corporation · 5 open roles · median 159 d
- NVIDIA (this employer) · 5 open roles · median 170 d
- Infineon Technologies · 3 open roles · median 138 d
- Analog Devices · 2 open roles · median 49 d
- Lam Research · 2 open roles · median 157 d
How we counted: 44 open Software Engineering Semiconductor (Infrastructure Platform) roles from 21 employers tracked in the SemiconductorJobs index, counted 25 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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