Senior Software Engineer, Platform Engineering

About the role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior Full- Stack Software Engineer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.

What You Will Be Doing:

- Hands-on experience with test automation, production testing, and automation frameworks

- Solid understanding of Linux, embedded systems, firmware, and hardware/software integration

- 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

What We Need to See:

- 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)