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Senior Software Engineer, AI Infrastructure Solutions

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5kfull-timePosted 4d ago

About the role

Senior software engineer role focusing on AI-powered automation and infrastructure to accelerate NVIDIA GPU validation, bring-up, and engineering workflows. Lead development of autonomous AI solutions, scalable AI infrastructure, and end-to-end intelligent workflows within NVIDIA's Modular Diagnostics team.

Responsibilities

  • Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions. These automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows to speed up GPU launches.
  • Build scalable AI infrastructure, services, APIs, and reusable platforms that enable teams across NVIDIA to develop and deploy AI-powered applications.
  • Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows.
  • Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to identify high-impact use cases, define requirements, develop prototypes, and deploy production-ready solutions.
  • Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.
  • Drive projects from concept through adoption, measure their impact against clear success criteria, and continuously improve their efficiency.

Qualifications

  • BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years delivering production software, infrastructure, platform, or AI solutions.
  • Strong programming skills in Python and C/C++.
  • Track record of building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
  • Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure.
  • Strong problem-solving, debugging, and system-design skills with a history of shipping reliable systems.
  • Effective collaboration across technical and business teams, with clear communication and the ability to drive solutions from idea to production.

Skills

Required:PythonC/C++

Benefits

  • equity
  • benefits (see NVIDIA benefits)
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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