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Senior Director, Enterprise Software Engineering and AI Platforms

US, CA, Santa Clara
Full Time On-site

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.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 2026.

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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