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# Software Engineer, Platform Engineering

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $270,250.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Distributed Systems, Financial Software, Python (Programming Language), Software Deployment, Workflow Management Systems, Cloud Platform System, Spring Cloud, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Kubernetes, Information Technology, Docker, Servicenow, Microservices
- **Published:** October 6, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-platform-engineering-2100-nvidia-usa-10300014

## About the Role

* 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 (Python preferred)
 * Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures
 * Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning)
 * Experience with agent frameworks and orchestration tools (e.g., LangChain or similar)
 * Proven ability to design systems with high reliability, scalability, and performance
 * Hands-on experience deploying applications in Kubernetes environments
 * Experience building systems in cloud and hybrid environments
 * Strong programming skills across multiple languages and modern software stacks
 * Proven track record leading complex technical initiatives and mentoring high-performing teams

Ways to stand out from the crowd:

 * Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
 * Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
 * Experience with Cloud Platforms, experience with Kubernetes and Docker.
 * Self-motivation and a drive to get things to "done".

## Description

* Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
 * Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
 * Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions
 * 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
 * Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability