NVIDIA Corporation

Senior Staff AI Platform Engineer

NVIDIA Corporation$168K — $322K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in cloud, platform, or SRE roles with relevant education or equivalent experience.
  • Bachelor's degree or equivalent experience.
  • Strong proficiency in Python and one systems language (C++, Go, or Rust).
  • Extensive experience with distributed systems, Kubernetes, and bare-metal infrastructure.
  • Proven ability in observability design across varied workloads and AI systems.
  • Operational experience with AI/ML platforms, MLOps, and GPU environments.
  • Familiarity with security practices in cloud-native infrastructure.

Responsibilities

  • Define and lead AI-native infrastructure roadmaps and cross-organizational initiatives.
  • Architect and scale LLM/ML infrastructure across cloud and on-prem hardware.
  • Design and implement observability for infrastructure health and model performance.
  • Build monitoring systems that leverage AI for incident response optimization.
  • Develop automation for reliability, scalability, and developer self-service.
  • Troubleshoot complex distributed systems, focusing on Kubernetes and AI scaling challenges.
  • Mentor engineers in fostering an AI-first culture.

Benefits

  • Eligible for equity participation and potential additional perks.
  • Flexible working options to promote work-life balance.
Full Job Description

Senior Staff AI Platform Engineer

What you will be doing:

  • Define and lead AI-native infrastructure roadmaps and cross-organizational initiatives.

  • Architect and scale LLM/ML infrastructure across cloud-native clusters and on-premises hardware.

  • Design and implement observability for infrastructure health and AI model performance.

  • Build LLM-aware monitoring and leverage AI to improve incident response and reduce toil.

  • Develop automation and tooling to ensure reliability, scalability, and developer self-services

  • Troubleshoot complex distributed systems, including deep Kubernetes and AI/ML scaling challenges.

  • Drive AI-assisted engineering practices and mentor engineers to foster an AI-first culture.

  • Partner with product engineering and internal business units to translate AI platform capabilities into reliable, scalable solutions that accelerate product development.

What we need to see:

  • 10+ years in cloud, platform, or SRE roles with relevant education or equivalent experience.

  • Bachelors degree or equivalent experience.

  • Strong Python and at least one systems language (C++, Go, or Rust), with proven distributed systems debugging expertise.

  • Deep experience building and scaling distributed systems, including Kubernetes and bare-metal infrastructure.

  • Strong observability design across infrastructure and AI workloads (metrics, logging, tracing, AI quality signals).

  • Hands-on experience operating AI/ML platforms, including MLOps, model serving, and GPU-accelerated environments.

  • Experience with infrastructure and application security practices, such as identity/auth, network segmentation, supply chain security, and vulnerability management in cloud-native environments.

  • Practical use of AI-assisted development tools and coding agents in daily workflows.

  • Solid foundation in data structures, algorithms, and complexity analysis.

  • Excellent problem-solving, communication, and collaboration across multiple functions.

Ways to stand out from the crowd:

  • Deep experience with AI/ML platforms (e.g., Hugging Face, Weights & Biases, NVIDIA NIM).

  • Proven use of AI agents and LLM tooling to enhance observability, incident response, or developer productivity.

  • Experience with artifact management, AI supply chain security, or trusted model distribution systems.

  • Experience with AI-specific threat models (OWASP Top 10 for LLMs, model poisoning, adversarial inputs), experience with FedRAMP, SOC 2, or other compliance frameworks relevant to your environment, and red-teaming or security evaluation of LLM systems.

  • Strong ownership demeanor with a structured, automation-first approach.

  • Demonstrated impact driving AI-first engineering practices across teams.

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 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and .

Applications for this job will be accepted at least until March 27, 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

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