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Senior Software Engineer, Platform Engineering

NVIDIA· Engineer, SW
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Santa Clara, CA$168k - $322kfull-timePosted 6mo ago

About the role

Senior Full-Stack Software Engineer to build next-generation AI platforms and products, with focus on agentic AI, LLM-powered architectures, and retrieval-augmented generation (RAG) in enterprise workflows. Collaboration across Cloud, AI/ML, and Generative AI teams in a multifaceted, agile environment.

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

Qualifications

  • 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

Skills

Required:Test automationLinux and embedded systemsAgent frameworks and orchestrationKubernetes
Nice to have:ITSM and ServiceNow

Benefits

  • equity
  • benefits (details at NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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