Software Engineering Intern (Summer 2026)

Hungry, Humble, Honest, with Heart.

The Opportunity

This is a 12-week internship with start dates beginning in May through August 2026, depending on your availability. Nutanix offers both remote and hybrid internships where you would work from the San Jose, CA, office 3+ days/week.

An internship at Nutanix allows you to build on your studies and expand your professional skills, working alongside an encouraging and innovative software engineering team. You will dive deep into some of the software industry's most demanding and popular fields. Strengthen your programming skills beyond the classroom through hands-on, impactful technical projects as you learn, grow, and explore with training and mentoring from our team of technical experts.

About the Team

You’ll join a team of enthusiasts who are dedicated to learning new technologies,improving and extending existing designs, and frameworks, developing new analytics, and writing test cases that go into delivering high quality hardware platforms. In this role, you will help drive innovative solutions to accelerate validation of Nutanix, OEM and strategic partners’ platforms

This role requires no travel, providing the opportunity to focus exclusively on collaborative projects within the team and the broader organization.

Your Role

• Develop high-quality framework that uses advanced Data Science and Machine Learning techniques
• Analyze requirements, design, code and develop tests and problem-solving software to characterize hardware components
• Work with hardware, software, and quality assurance teams to drive system validation and performance requirements.
• Drive software and hardware bug triages and debugging, and work with other internal dev teams to deliver fixes.
• Communicate effectively with stakeholders to align project goals and timelines.
• Contribute to team knowledge sharing through documentation and training support.

What You Will Bring

• Pursuing a Bachelor's in Computer Science or a related field
• Applicants must be authorized to work in the US without requiring current or future sponsorship for an employment visa status, such as F1, H1B, or TN
• Proficiency in Python programming
• Experience with Docker and Kubernetes for containerization and orchestration
• Knowledge of machine learning concepts and frameworks
• Strong collaboration and communication skills
• Ability to work in a hybrid work environment
• Team-oriented mindset with a focus on cross-collaboration

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

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

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.