Nvidia
Senior Director, Enterprise Software Engineering and AI Platforms
US, CA, Santa Clara · Director
Sponsorship not specifiedDetected 2 days ago
Site Reliability EngineeringPlatform EngineeringAgentic AILeadership
About the role
- 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.
- What You'll be doing: Define and execute the long-term strategy for enterprise software engineering in an AI-first, agentic world.
- Architect and modernize enterprise platforms by integrating commercial SaaS, custom software, APIs, AI agents, and intelligent automation into a unified ecosystem.
Responsibilities
- 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.
- Lead enterprise-wide modernization initiatives, including cloud transformation, AI adoption, platform consolidation, and engineering modernization.
- Partner with executive leadership and strategic technology providers to shape technology strategy, influence product roadmaps, and drive business impact.
- 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.
- Passion for building exceptional engineering cultures and developing future technology leaders.
- Lead the transformation of enterprise software engineering in an AI-first world.
- 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.
- Experience building and scaling AI-native or agentic platforms that transformed enterprise productivity or business operations.
Nice to have
- 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.
- What We Need to See: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field (or equivalent experience)
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 340,000 USD - 517,500 USD.
Benefits
- You will also be eligible for equity and benefits.
- Build and develop high-performing engineering leaders while fostering a culture of technical excellence, innovation, accountability, and continuous learning.
Company info
- Ways to Stand Out from the crowd: Experience building and scaling AI-native or agentic platforms that transformed enterprise productivity or business operations.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.