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The Opportunity Are you a proactive and innovative software engineer with a passion for automation and a desire to make a significant impact on engineering efficiency? If so, stepping into the GenRCA (root cause analysis) AI/ML intern role means tackling some of the most complex challenges in modern cloud infrastructure: building autonomous systems that can actually think, diagnose, and resolve issues at an enterprise scale. You won't just be tinkering with standard APIs; you will be challenged to architect and optimize sophisticated agentic frameworks—utilizing LangGraph, LangChain, or AutoGen—that must accurately navigate and correlate massive volumes of logs and metrics across highly distributed services. The true depth of this opportunity lies in pushing the boundaries of Retrieval-Augmented Generation (RAG) and anomaly-detection models to ensure our Conversational AI reliably provides Systems Reliability Engineers with precise, actionable root-cause summaries rather than hallucinations. It is a rigorous, high-stakes environment where your work directly dictates the resilience of the Nutanix Cloud Platform, offering a rare chance to bridge the gap between experimental LLM capabilities and robust, production-grade automated troubleshooting. This is a full-time hybrid internship where you work from the San Jose, CA office.

About the Team Our GenRCA (root cause analysis) AI/ML team is at the forefront of integrating cutting-edge generative AI directly into the Nutanix Cloud Platform. As a core part of our Auto RCA initiative, this team is responsible for developing advanced AI-driven engines that automate root cause analysis for complex IT infrastructure incidents. By leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks such as LangChain and AutoGen, the team builds autonomous troubleshooting tools and anomaly-detection models that instantly correlate logs and metrics across distributed services. Our primary internal customers are our Systems Reliability Engineers (SREs), and we empower them with intuitive, conversational AI interfaces that allow them to query systems, run diagnostics, and resolve issues using natural language.

Your Role

• Contribute and help innovate agentic solutions.

• Perform supervised fine-tuning and instruction-tuning of open-source Generative AI models such as LLaMA-3 for a variety of downstream tasks, such as question answering, reasoning, etc.

• Build data/ETL pipelines for training and fine-tuning LLMs

• Set up inference endpoints and machine learning operations (MLOPs) workflow for iterative model performance tuning

• NLP and IR techniques, including parsing, indexing, search, and retrieval, benchmarks.

• Collaborate with internal teams on data engineering and the development of custom models and optimizations.

What You Will Bring

• Applicants must be authorized to work in the US without requiring current or future sponsorship for employment visa status, such as an F-1, H-1 B, or TN visa.

• Pursuing a bachelor's degree in Computer Science or a related field

• You have taken one or more courses in the areas of Operating/Distributed/Database Systems,

• Artificial Intelligence, Machine Learning, NLP, Deep Learning, and LLM

• You are fluent in one or more of the following languages: C, C++, Python, or Golang.

• Strong communication skills for clear documentation and teamwork.

Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e., San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney, and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Your manager will provide additional team-specific guidance and norms.

The pay range for this position at the commencement of employment is expected to be between USD $36 and USD $60 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

We're an Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting CandidateAccommodationRequests@nutanix.com.