Intern 2026: Quantum Data Center Engineering
📌NY, United States 🇺🇸
⏱︎ internship
🧙♂️ internship
IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your Role And Responsibilities
As a Quantum Data Center Engineering Intern, you will learn about the structural and mechanical infrastructure needed to support a Quantum System. Gain hands-on skills in the Quantum environment while working with specialized equipment. In addition, you will utilize software design tools to design and implement hardware components. Expectation for the intern role is you are able to use AutoCAD and other design software to design hardware components then implement and test their design. You will also need to have some understanding of physical structures and their weight bearing abilities. Finally have a sense of a lab/datacenter environment, cooling, water supply and power needs.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Currently enrolled as a sophomore or junior, in Mechanical/Mechatronics Engineering, Aerospace, Robotics, or similar program
- Have a broad mechanical understanding and experience with CAD modeling, simulation, assembly, fabrication, and basic electrical systems
- Experience with CAD software (SolidWorks, AutoCAD)
- Have ability and motivation to work in a hands-on environment (e.g. labs / datacenters)
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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