Senior Director, Enterprise Software Engineering and AI Platforms

at Nvidia

📍 Santa Clara, United States

USD 340,000-517,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 API Leadership @ 6 SRE @ 4 Security @ 4

Details

Lead the transformation of enterprise software engineering in an AI-first world. This role defines the strategy, architecture, and operating model for an intelligent software ecosystem where commercial SaaS, custom software, AI agents, and automation work together to accelerate business outcomes. You will shape how the enterprise makes Build, Buy, and Agent decisions while establishing the engineering foundations, governance, and AI-native platforms that power the next generation of enterprise software.

Responsibilities

Define and execute the long-term strategy for enterprise software engineering in an AI-first, agentic world.
Lead a global engineering organization across Enterprise Applications, AI Engineering.
Drive the company's Build, Buy, and Agent strategy, balancing innovation, speed, cost, and long-term architectural direction.
Architect and modernize enterprise platforms by integrating commercial SaaS, custom software, APIs, AI agents, and intelligent automation into a unified ecosystem.
Establish world-class engineering practices across software engineering, platform engineering, SRE, DevSecOps, security, reliability, and developer experience.
Lead enterprise-wide modernization initiatives, including cloud transformation, AI adoption, platform consolidation, and engineering modernization.
Build and develop high-performing engineering leaders while fostering a culture of technical excellence, innovation, accountability, and continuous learning.
Partner with executive leadership and strategic technology providers to shape technology strategy, influence product roadmaps, and drive business impact.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field (or equivalent experience); Master's degree preferred.
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.