Software Engineering Intern - QA
Nutanix
Job Overview
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Job Description
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, joining our team as a Software Engineering Intern - QA will provide you with the unique opportunity to work on the cutting-edge "Trias" AI tool, allowing you to directly contribute to reducing test triage time from days to minutes while gaining valuable mentorship and experience in a collaborative environment.
About The Team
You will join the R&D Product Systems QA team at our San Jose headquarters, where you won't just run tests—you will help build the "Trias" AI automation tool that revolutionizes them. Reporting to a Senior Engineering Manager dedicated to your growth, you will work in a collaborative culture where "1 plus 1 is always greater than 2," tackling real-world challenges in "Intelligent Operations" and AI deployment. This is a hybrid role requiring three days onsite per week, ensuring you have direct access to architects and leadership to support your success in this high-visibility project, with no travel required.
Your Role
- Collaborate closely with the project architect to support the development and refinement of the dashboard interface (front-end development)
- Validate AI accuracy to ensure the "Triage" tool correctly assigns responsibility for automated test failures.
- Enhance selection algorithms and DB search for optimal results (Backend development)
- Utilize proficiency in Python to write and execute automation scripts for efficient testing processes.
- Maintain clear, open communication with engineering teams to ensure seamless integration and documentation of automation scripts.
- Drive technical execution by actively engaging in all phases of testing and validation to meet aggressive project timelines.
- Facilitate knowledge transfer and documentation to ensure a smooth handoff of the project upon completion of the internship.
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
- Proficiency in Python for scripting and automation tasks.
- Basic knowledge of UI development and JavaScript for dashboard integration.
- Strong analytical skills to validate AI accuracy and output.
- Experience with software testing and execution of test plans.
- Ability to work effectively within a diverse engineering team.
- Familiarity with AI and automation concepts in software development.
- Currently pursuing a degree in Computer Science, Engineering, or a related field.
- 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. Additional team-specific guidance and norms will be provided by your manager.
Key skills/competency
- Python scripting
- UI Development
- JavaScript
- AI Validation
- Software Testing
- Automation
- Backend Development
- Analytical Skills
- Communication
- Test Plan Execution
How to Get Hired at Nutanix
- Research Nutanix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Software Engineering Intern - QA: Highlight Python, JavaScript, AI, and automation experience relevant to Nutanix's "Trias" tool.
- Showcase your projects: Prepare to discuss personal or academic projects involving software engineering, QA, or AI automation.
- Prepare for technical interviews: Brush up on data structures, algorithms, and practical coding challenges in Python, focusing on testing scenarios.
- Demonstrate collaborative spirit: Emphasize teamwork, communication, and proactive problem-solving, aligning with Nutanix's collaborative environment.
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