Principal Release Infrastructure Architect

Posted 13 Days Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Principal Release Infrastructure Architect manages the architecture of a full-stack release management platform, leading complex projects, designing validation models, mentoring engineers, and ensuring data integrity.
Summary Generated by Built In

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 15 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!  

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

  • BS, MS, or PhD or equivalent experience in Computer Science or related field
  • Over 15 years of hands-on software engineering experience
  • At least 5 years in a senior technical leadership role
  • Expertise in Python or a modern backend stack with PostgreSQL
  • Strong frontend architecture skills with React, Angular, and TypeScript
  • Solid background in CI/CD orchestration

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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