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Technology Internships (Summer 2025)

GPT Research
San Jose, CA Full Time
POSTED ON 4/28/2025
AVAILABLE BEFORE 5/27/2025

About GPT-Research

At GPT-Research, we're pioneering the next generation of AI and infrastructure to solve global challenges. Join a dynamic, inclusive team pushing boundaries in AI models, chip design, and scalable systems. If you're passionate about innovation, collaboration, and making an impact, we want you!

Learn more at  https : / / gpt-research.org /

Internship Overview

We're seeking motivated students graduating between  2025–2027  (current community college or undergraduate) in  Computer Science, Data Science, Electrical Engineering , or related fields for our Summer 2025 internships. Submit  one application  for all roles and specify your top team!

Available Teams

1. Software Engineering (SWE) Team

You Are

  • Pursuing a degree in  Computer Science, Electrical Engineering , or a related field (graduating 2025–2027).
  • Proficient in  one or more programming languages : Golang, Node.js, Rust, JavaScript / TypeScript.
  • Familiar with  frontend frameworks  (React, Vue, Tanstack)  and / or backend systems  (distributed systems, cloud infrastructure).
  • Experience with  full-stack development  (HTML / CSS, REST / GraphQL, SQL / NoSQL databases)  or infrastructure tools  (Docker, Kubernetes, AWS / GCP).
  • Passionate about building scalable systems, intuitive user interfaces, or end-to-end applications.

You Will

  • Design, code, and deploy features across web applications, cloud infrastructure, or distributed systems.
  • Collaborate with cross-functional teams to solve challenges in AI infrastructure, UI / UX, or full-stack tooling.
  • Optimize performance, reliability, and scalability of production systems.
  • 2. Data Science & Machine Learning Research Team

    You Are

  • Pursuing a degree in  Data Science, Computer Science , or a related field (graduating 2025–2027).
  • Proficient in  Python  and data science tools (PyTorch, TensorFlow, pandas, NumPy, Jupyter).
  • Familiar with  ML concepts : model training, statistical analysis, NLP, computer vision, or large-scale data processing.
  • Passionate about research, experimentation, and translating insights into real-world AI solutions.
  • You Will

  • Train, fine-tune, and evaluate cutting-edge ML models.
  • Analyze datasets to uncover patterns and improve model performance.
  • Collaborate with engineers to deploy research into production systems.
  • 3. High-Performance Computing (HPU Inference Chip) Team

    You Are

  • Pursuing a degree in  Electrical Engineering, Computer Engineering , or a related field (graduating 2025–2027).
  • Familiar with  hardware design tools : Verilog / VHDL, FPGA toolchains, and chip simulation software.
  • Proficient in  low-level programming : C / C , hardware-software co-design, and performance optimization.
  • Passionate about computer architecture, digital circuits, or accelerating AI through custom hardware.
  • You Will

  • Contribute to the design and optimization of next-gen AI inference chips.
  • Simulate, test, and debug hardware architectures for efficiency and scalability.
  • Collaborate with software teams to bridge hardware and AI model performance.
  • 4. HR & Talent Acquisition Team

    You Are

  • Pursuing a degree (graduating 2025–2027).
  • Passionate about  people operations , talent strategy, or campus recruitment.
  • Strong communicator with experience in event planning, social media, or university engagement (clubs, organizations, etc.).
  • Familiar with tools like LinkedIn, ATS platforms, or HR analytics.
  • Interest in bridging technical teams and talent pipelines.
  • You Will

  • Assist in designing and executing  campus recruitment strategies  for technical roles.
  • Engage with universities, student groups, and career fairs to attract top talent.
  • Collaborate with technical teams to refine internship programs and employer branding.
  • Analyze recruitment metrics to improve outreach and candidate experience.
  • Requirements for All Roles

  • Enrollment in a community college / undergraduate program (graduating  2025–2027 ).
  • Demonstrated interest through coursework, projects, or prior internships.
  • Strong problem-solving and collaboration skills.
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