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NVIDIA

Senior Release Infrastructure Architect

NVIDIA is hiring a Senior Release Infrastructure Architect in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Kubernetes, Docker and GraphQL.
  • Level classifies it as a lead role.
  • Level lists 1,800+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

Senior Release Infrastructure Architect to manage and scale full-stack release management platforms and multi-environment systems.

kubernetesdockergraphqltypescript
system-architecturerelease-managementinfrastructureapi-design

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!  

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Senior Release Infrastructure Architect at NVIDIA rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

System ArchitectureRelease ManagementInfrastructureAPI DesignKubernetesDockerGraphQLTypeScript

Questions you could be asked

  1. Tell me about a project where system architecture was part of your work. What did you do?
  2. Tell me about a project where release management was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where api design was part of your work. What did you do?
  5. Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: System Architecture, Release Management, Infrastructure, API Design, and Kubernetes. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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