• The Lab: At the GlobalLogic/Hitachi CTO Intelligent Robotics and Physical AI Lab, Generative AI is stepping out of the browser and into the physical world. • We are building "Physical AI" - prototyping systems where agentic digital intelligence controls real-world mechanical and industrial systems. • We do not do mundane corporate intern projects. • We build functioning, tangible prototypes that serve as the foundation for massive real-world industrial solutions. Note: GlobalLogic estimates the starting pay range for this role to be performed in Santa Clara, CA and the pay range will be $40/hr to $45/hr and reflects base pay only. This pay range is provided as a good faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. Requirements • We don't just want to see a high GPA; we want to see a history of extreme curiosity and bias for action. We will be interviewing builders. • The Portfolio (Mandatory): Show us what you have built. Include a link to your GitHub, YouTube, or personal website showcasing side projects, hackathon wins, autonomous systems, ML models you've trained, or hardware you've hacked together. Applications without a portfolio of built projects will not be considered. • Academic Baseline: Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related field. Exceptionally talented undergrads will be considered if you have a strong portfolio. • Full-Stack Tinkerer: Deep fluency in Python is a must. Comfort diving into C++, ROS, microcontrollers (Arduino/Raspberry Pi), or training/deploying ML models when the prototype demands it. AI programming tokens are on us. • Relentless Resourcefulness: You don't wait for a tutorial or hold up a project because a standard driver doesn't work. You read the docs, bypass the broken component, write a script, and make the demo work. • Local Availability: You must be local to the Santa Clara area, able to come into the lab part-time starting this April, and ready to transition to a full-time summer internship. Job responsibilities • We are looking for a brilliant, high-velocity intern to act as our resident "Swiss Army Knife" for the Physical AI Lab. Your scope will be broad and entirely dependent on what needs to be built that week. • You might be fine-tuning an AI vision algorithm on Monday, writing Python glue-code to connect an LLM to an API on Wednesday, and soldering a custom actuator or tinkering with a robotic arm on Friday. • If you are a relentless problem-solver who operates across the software, algorithmic, and hardware stacks, this is the ultimate sandbox. • You will not be writing basic test scripts. You will be actively participating in the early-stage engineering of agentic AI solutions alongside experienced industry architects. • If your idea of a fun weekend involves building an autonomous RC car, hacking a smart home system, or fine-tuning an open-source model just to see if you can - this is the exact environment where you will thrive. What we offer