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Software Engineering InternshipNashville Public Radio • Raleigh, North Carolina, United States
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Software Engineering Internship

Nashville Public Radio
  • US
    Raleigh, North Carolina, United States
  • US
    Raleigh, North Carolina, United States
Jetzt Bewerben

Über

FLUIX AI is a venture‑backed infrastructure software company based in the San Francisco Bay Area. We build autonomous AI systems that optimize data centers, the critical infrastructure powering the world’s communication, compute, and digital services. Our platform, A.I.M.I. (Artificial Intelligence for Managing Infrastructure), uses machine learning to make real‑time control decisions that help facilities reduce energy waste and operate more efficiently. We work directly with data center operators and utilities to modernize infrastructure through automation, intelligence, and real‑time optimization.
We are seeking a Software Engineering Intern (Full‑Stack) to join our team and contribute to real product development. You will work closely with engineering, product, and operations to build features across our platform, from user interfaces to backend services.
This is not a passive internship. You will work on real systems used in production environments and help build tools that support AI‑driven infrastructure operations.
What You’ll Work On
Build and improve user‑facing dashboards and internal tools
Develop features in our web applications (frontend + backend)
Help integrate APIs and connect services
Improve application performance and reliability
Write clean, readable, and testable code
Participate in engineering discussions and product planning
Debug real issues in real production environments
What We’re Looking For
Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field
Comfortable with basic web development concepts
Familiarity with React, Node.js, or Python (coursework or projects is fine)
Understanding of basic backend concepts (APIs, databases, servers)
Curiosity about how systems work end‑to‑end
Strong willingness to learn and ask questions
Ability to commit ~25 hours per week
Able to work in‑person in Santa Clara at least part of the week
Bonus (not Required)
Experience with Docker or Git
Experience deploying an app using Python
Interest in AI, energy systems, or infrastructure
Culture Fit
We are looking for obsessed individuals who want to give it their all
We are not afraid to get our hands dirty with physical and software systems
We are eager to visit and work with clients and understand the importance and gravitas of their mission‑critical work
We are eager to come into the office and on‑site, as our work directly affects physical environments
Due to our mission‑critical work, we understand and are eager to help our teammates and co‑workers during holidays, weekends, and emergencies
We are cordial and over‑communicate with teammates, co‑workers, and management
What You’ll Gain
Real startup engineering experience
Direct mentorship from senior engineers
Exposure to AI‑driven systems in production
Experience working on mission‑critical infrastructure software
Opportunity to convert into a full‑time role
Benefits Compensation : Paid internship (hourly)
Benefits : Flexible scheduling around classes
Work Environment : Dynamic and collaborative San Francisco Bay Area work environment
Growth Opportunities : Opportunities for professional growth and development, with the chance to shape the future of technology in the industry
Location: In‑person in Santa Clara, CA
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  • Raleigh, North Carolina, United States

Sprachkenntnisse

  • English
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