NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA, where we're powering the future of AI and computing! As a Principal Architect on our powerful team in Santa Clara, CA, you will manage the architecture of our critical release management platform. This role offers a ground breaking chance to define the technical vision for our modern infrastructure while working with hardworking and versatile professionals in the industry.
What you'll be doing:
Managing the architecture of a full-stack release management platform, advancing it to accommodate multi-tenant, multi-environment systems across multiple hardware platforms.
Crafting hierarchical domain models and state machines that manage complex lifecycles and multi-axis promotion flows.
Architecting robust ingestion and reconciliation pipelines, ensuring data fidelity and compliance across various representations.
Defining and integrating a comprehensive validation, promotion, and gating model with our automated sanity stages and customer-release pipelines.
Establishing a strict separation between authoring and production environments, ensuring data integrity and sanitization.
Setting standards for API build, authentication, RBAC, audit logging, and observability across the platform.
Leading frontend architecture for a sophisticated authoring and review experience, handling complex tabular editing and bulk operations.
Driving platform onboarding workflows, defining consistent naming schemes, validation rules, and notification topologies for new hardware platforms.
Mentoring engineers, conducting architecture reviews, and raising the technical bar across multiple engineering domains.
Partnering with product, TPM, release managers, and other collaborators to align on roadmaps, capacity, and operational ownership.
Defining and managing deployment, rollout, and incident-response models, including database migration strategies and clear on-call runbooks and continuously evaluating and incorporating emerging tools, frameworks, and patterns to improve the platform's capabilities.
What we need to see:
BS, MS, or PhD or equivalent experience in Computer Science or a related field is required. Candidates must have over 12+ years of hands-on software engineering experience. At least 5 of those years should be in a senior technical leadership role.
Proven experience leading large-scale, multi-year, full-stack platform projects from inception to production.
Expertise in Python or a modern backend stack, with production-grade experience in PostgreSQL and complex relational data modeling.
Strong frontend architecture skills with React, Angular, and TypeScript, passionate about data-heavy UIs.
Demonstrated success in crafting and implementing state machines, workflow engines, or lifecycle systems.
Solid background in CI/CD orchestration, event-triggered integrations, and background-job systems.
Strong API development field, with experience in REST contracts, versioning, and automation-friendly interfaces.
Proficiency in Linux, containerization, and managing stateful production services.
Ability to lead through influence, driving architectural decisions across multiple teams and building consensus.
Excellent communication skills, translating complex business requirements into detailed technical solutions.
Ways to stand out from the crowd:
Experience architecting large-scale release engineering or configuration management platforms.
Background in event-driven architectures, microservices, or workflow orchestration engines.
Familiarity with regulated environments, ensuring audit trails and customer-facing sanitized exports.
Knowledge of hardware/firmware release flows and board/SKU management.
Expertise in integrating AI-assisted authoring, structured data extraction, or natural-language interfaces into engineering tools.
NVIDIA is considered one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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, master’s, or doctoral degree in Computer Science or a related field, or equivalent experience
- More than 12 years of hands-on software engineering experience
- At least 5 years in a senior technical leadership role
- Experience leading large-scale, multi-year, full-stack platform projects from inception to production
- Production-grade expertise with Python or a modern backend stack
- Production-grade PostgreSQL experience and complex relational data modeling
- Strong frontend architecture skills with React, Angular, and TypeScript
- Experience crafting and implementing state machines, workflow engines, or lifecycle systems
- Background in CI/CD orchestration, event-triggered integrations, and background-job systems
- Strong API development experience, including REST contracts, versioning, and automation-friendly interfaces
- Proficiency with Linux, containerization, and stateful production services
- Ability to lead through influence, drive architectural decisions across teams, and build consensus
- Excellent communication skills and ability to translate business requirements into technical solutions
- Experience architecting large-scale release engineering or configuration management platforms
- Experience with event-driven architectures, microservices, or workflow orchestration engines
- Familiarity with regulated environments, audit trails, and sanitized customer-facing exports
- Knowledge of hardware or firmware release flows and board/SKU management
- Experience integrating AI-assisted authoring, structured data extraction, or natural-language interfaces into engineering tools
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
