Senior Director, Enterprise Software Engineering and AI Platforms

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Lead the strategy, architecture, and operating model for an intelligent software ecosystem in an AI-first world, defining how the enterprise makes Build, Buy, and Agent decisions while establishing engineering foundations and AI-native platforms.

What you'd actually do

  1. Define and execute the long-term strategy for enterprise software engineering in an AI-first, agentic world.
  2. Lead a global engineering organization across Enterprise Applications, AI Engineering.
  3. Drive the company's Build, Buy, and Agent strategy, balancing innovation, speed, cost, and long-term architectural direction.
  4. Architect and modernize enterprise platforms by integrating commercial SaaS, custom software, APIs, AI agents, and intelligent automation into a unified ecosystem.
  5. Establish world-class engineering practices across software engineering, platform engineering, SRE, DevSecOps, security, reliability, and developer experience.

Skills

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field (or equivalent experience)
  • 18+ years of software engineering experience
  • 10+ years leading globally distributed engineering organizations
  • Deep expertise in modern software engineering
  • Deep expertise in cloud-native platforms
  • Deep expertise in AI-enabled systems
  • Strong track record of making strategic Build, Buy, and Agent decisions
  • Proven success building high-performing engineering organizations
  • Proven success influencing executive stakeholders
  • Proven success delivering secure, scalable, and reliable enterprise platforms

Nice to have

  • Master's degree
  • Experience building and scaling AI-native or agentic platforms that transformed enterprise productivity or business operations
  • Demonstrated track record of delivering step-change improvements in engineering productivity, developer experience, or business outcomes through technology innovation
  • Recognized technical leader through patents, open-source contributions, publications, conference speaking, or leadership within the AI engineering community
  • Passion for building exceptional engineering cultures and developing future technology leaders

What the JD emphasized

  • 18+ years of software engineering experience, including 10+ years leading globally distributed engineering organizations through enterprise-scale transformation.
  • Deep expertise in modern software engineering, cloud-native platforms, AI-enabled systems, and a strong track record of making strategic Build, Buy, and Agent decisions.
  • Proven success building high-performing engineering organizations, influencing executive stakeholders, and delivering secure, scalable, and reliable enterprise platforms.
  • Experience building and scaling AI-native or agentic platforms that transformed enterprise productivity or business operations.

Other signals

  • AI-first world
  • AI agents
  • AI-native platforms