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.
What You'll be doing:
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.
What We Need to See:
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.
Ways to Stand Out from the crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field (or equivalent experience).
- Master's degree.
- 18+ years of software engineering experience.
- 10+ years leading globally distributed engineering organizations through enterprise-scale transformation.
- Deep expertise in modern software engineering, cloud-native platforms, and AI-enabled systems.
- Proven success building high-performing engineering organizations and influencing executive stakeholders.
- Experience making strategic Build, Buy, and Agent decisions for enterprise platforms.
- Experience building and scaling AI-native or agentic platforms.
- Recognized technical leadership (patents, open-source contributions, publications, speaking).
- Passion for building engineering culture and developing technology leaders.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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