NVIDIA Corporation

Senior AI Tools Engineer, SRE Operations - GeForce NOW

NVIDIA Corporation$144K — $230K *
US-AnywhereRemote in California, US
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Computer Science, Statistics, or Engineering (or equivalent experience) with 5+ years in the field.
  • Strong proficiency in Python; familiarity with Go or other systems languages is advantageous.
  • Proven experience in building, optimizing, and deploying AI tools.
  • Deep knowledge of the AI landscape, with a focus on LLM-based systems.
  • Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS).
  • Ability to distinguish significant advancements in AI from less impactful trends.
  • Expertise in automation and managing large-scale data pipelines.

Responsibilities

  • Build and deploy AI tools to analyze production data for incident resolution and trend prediction.
  • Lead development of LLM- and Agent-based systems to enhance operational efficiency.
  • Maintain robust data management practices for handling extensive data sources.
  • Enhance existing LLM-based pipelines with insights from ongoing LLM advancements.
  • Serve as an authority on AI Frameworks, advising on platforms and architectures for sustainability.

Benefits

  • Eligibility for equity compensation.
  • Comprehensive benefits package tailored to employee needs.
  • Opportunity to work with innovative technologies and a diverse, forward-thinking team.
  • Supportive environment for personal and professional advancement.
Full Job Description
We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. We encourage applicants with SRE or equivalent experience. What you will be doing: You will build and deploy sophisticated AI-powered tools and products. These tools support the operation and optimization of a critical production global GeForce Now service. This role is critical for transforming extensive production data streams-such as signals, metrics, and logs-into actionable intelligence. The intelligence automates root cause analysis for incidents and predicts future service trends and patterns.
  • Build and implement robust AI/ML tools capable of analyzing production data to identify root causes for complex incidents and identify future operational trends.
  • Lead the development of brand-new LLM- and Agent-based systems to improve operational efficiency.
  • Establish and maintain excellent data management practices, including constructing workflows to convert and handle large-scale data sources vital for model development.
  • Take charge of and enhance LLM-based pipelines while integrating a strong grasp of LLM progress into product development.
  • Act as a resident authority on AI Frameworks, recommending the best platforms, toolsets, and architectural approaches to ensure the long-term technical sustainability of the product.
What we need to see:
  • B.S. in Computer Science, Statistics, or Engineering (or equivalent experience), and 5+ years of experience.
  • Strong proficiency in Python; familiarity with Go or other systems languages is a plus.
  • Practical experience building, optimizing, and deploying AI tools.
  • Strong knowledge of the AI space and current developments, including understanding how LLM-based platforms are built, optimized, and which platforms work best.
  • Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS cloud).
  • Active engagement with developments in the AI field and the ability to distinguish meaningful advances from noise when making technical decisions.
  • Expertise in automation and handling large-scale data pipelines.
  • Experience applying monitoring and visualization tools, such as Grafana, to interact with data.
  • Excellent ability to handle data sources and pipelines to transform and manage data.
Ways to stand out in a crowd:
  • Current experience in LLM improvement pipelines as well as a strong grasp of recent developments in LLM training.
  • Understanding of SRE concepts and experience managing production environments, as well as experience with Kubernetes, AWS, and other cloud technologies.
  • Someone with excellent knowledge of LLMs and AI Models who can reason and recommend an approach that sustains the team and product long-term. (This person helps prevent grave mistakes by avoiding the wrong platform choice.)
  • Proficiency in automation.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous AI Tools Engineer who loves challenges? Do you have a genuine passion for advancing the state of Site Reliability Engineering across a variety of industries? If so, 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 144,000 USD - 230,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 31, 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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