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Information Technology 🏢 Internship ⭐️ Verified

Summer Internship: Tech Innovator Program | Albuquerque NM

Quantum Leap Technologies
Albuquerque
Estimated Salary
USD 18 – USD 24
Live Update
4 Agustus 2026
Deadline
4 Agu 2027

Job Description

Join Quantum Leap Technologies' award-winning Summer Internship Program in Albuquerque, NM! This 12-week immersive experience pairs exceptional students with industry mentors to solve real-world challenges in our cutting-edge R&D facility. Perfect for undergraduates pursuing STEM degrees, you'll gain hands-on experience with AI, cloud computing, and renewable energy systems while receiving personalized career coaching and a competitive stipend. Our interns regularly transition to full-time roles – 72% received offers last year!

What makes us different:

  • Structured mentorship with senior engineers
  • Access to our $50M Innovation Lab
  • Weekly professional development workshops
  • Company-sponsored networking events
  • Possible academic credit arrangements

Responsibilities

  • Collaborate on cross-functional teams developing IoT solutions
  • Conduct data analysis using Python and SQL for client projects
  • Assist in prototyping and testing of solar energy systems
  • Document technical processes and create knowledge base articles
  • Present findings to stakeholders during weekly review sessions
  • Participate in hackathons and innovation challenges
  • Maintain version control and documentation best practices

Qualifications

  • Currently enrolled in accredited university (Sophomore-Senior standing)
  • Pursuing degree in Computer Science, Engineering, Data Science, or related field
  • 3.2 GPA minimum (transcript required)
  • Proficiency in Python or Java; SQL knowledge preferred
  • Experience with Git/GitHub or equivalent version control
  • Strong problem-solving and analytical thinking abilities
  • Excellent written and verbal communication skills
  • Authorized to work in the United States

Required Skills

Python Java SQL Git Data Analysis IoT Cloud Computing Solar Energy Problem-Solving Technical Documentation

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