Senior Software Engineer, Platform Engineering
$168k - $322k • Remote • US, CA, Santa Clara
Posted 1d ago
About the job
NVIDIA is seeking a Senior Full-Stack Software Engineer to build next-generation AI platforms and products that enhance business efficiency and productivity. This role involves working with concepts like RAG and agentic AI, utilizing state-of-the-art paradigms, third-party platforms, and open-source repositories. As a key leader, you will influence the architecture, development, and scaling of software systems, collaborating with Cloud, AI/ML, and Generative AI teams in a dynamic environment to meet business needs.
Responsibilities
- Integrate agents with enterprise data sources, APIs, and internal microservices for real-world actions.
- Architect and build agentic AI systems leveraging 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.
- Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications.
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.
- 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).
Benefits
- Equity
- Benefits