NVIDIA
Principal Software Engineer
$248K–$391K
US, CA, Santa Clara · Principal · Full-time · Posted Oct 23, 2026
- Experience
- 15+ years building large-scale distributed systems and cloud-native applications.
- Education
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).
About the job
Build and lead scalable enterprise AI platforms and products using LLMs, agentic AI, and retrieval-augmented generation.
What you'll do
- Architect agentic AI systems, including multi-agent orchestration, RAG, memory, and tool integration.
- Integrate agents with enterprise data, APIs, and microservices; ensure system reliability, safety, and performance.
- Lead technical initiatives, mentor engineers, and establish practices for agent evaluation, guardrails, and observability.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.
- 15+ years building large-scale distributed systems and cloud-native applications.
- Experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures.
- Experience with agent frameworks and orchestration tools; Kubernetes deployment; proven ability to design reliable, scalable, high-performance systems.
Nice to have
- Experience improving enterprise efficiency and employee experience with Generative AI solutions.
- Experience with cloud platforms, Kubernetes, and Docker; Python programming, debugging, performance analysis, and test design.
Pay
248,000 USD - 391,000 USD base salary
Tools
Python, LangChain, Kubernetes, Docker, Linux
AI focus
Build enterprise LLM-powered products and agentic AI systems, including RAG, multi-agent coordination, reasoning, memory, tool use, evaluation, and guardrails.
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