Senior Software Engineer, Platform Engineering
About The Position
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.
Requirements
- 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
Nice To Haves
- 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”.
Responsibilities
- 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
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
