NVIDIA Corporation

Staff Site Reliability Engineer - AI Platform Runtime

NVIDIA Corporation$168K — $333K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
  • BS degree in Computer Science or a related technical field involving coding or equivalent experience.
  • Strong proficiency in programming languages like Python, TypeScript, JavaScript, or Go, focusing on automation.
  • Experience with infrastructure-as-code tools such as AWS CDK, AWS CloudFormation, Terraform, or CrossPlane.
  • Solid understanding of observability principles and tools, notably OpenTelemetry or similar frameworks.
  • Expertise in systems architecture, networking, Kubernetes, and major public cloud services (AWS, Azure, GCP).
  • Excellent problem-solving, communication, and teamwork skills with a knack for influencing technical discussions.

Responsibilities

  • Lead the technical strategy and roadmap for SRE initiatives enhancing reliability, scalability, and developer productivity.
  • Design and build resilient distributed systems for AI-driven enterprise products and services.
  • Architect and develop AI Agents and Skills to boost platform operations.
  • Drive automation and improve observability with metrics and analytics for enhanced performance.
  • Collaborate with Cloud, Platform, Security, and AI/ML teams to implement modern SRE practices for high availability.
  • Analyze and troubleshoot complex systems, promoting best practices in system design and incident management.
  • Mentor engineers across teams, fostering a culture of reliability engineering.

Benefits

  • Flexible work environment with hybrid options.
  • Opportunities for equity participation.
  • Access to advanced technology and career development resources.
Full Job Description
What you'll be doing:

  • Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives that improve reliability, scalability, and developer productivity across enterprise systems.
  • Design, and build resilient distributed systems that power NVIDIA's next-generation AI-driven enterprise products and services.
  • Architect and develop AI Agents, AI Skills to accelerate platform operations
  • Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency.
  • Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations.
  • Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis.
  • Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering.


What we need to see:

  • 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
  • Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.
  • Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlane
  • Solid understanding of OpenTelemetry or other Observability implementation at scale.
  • Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).
  • Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries.


Ways to stand out from the crowd:

  • Passion for and experience with Public Cloud or large-scale automation systems.
  • Demonstrated ability to drive technical strategy and deliver measurable reliability outcomes in complex environments.
  • A strong sense of ownership, curiosity, and innovation, you thrive in ambiguity and turn challenges into opportunities.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

Similar Jobs

More Jobs at NVIDIA Corporation

More Information Technology Jobs

Find similar Staff Site Reliability Engineer - AI Platform Runtime jobs: