Quantum Control Systems FPGA Developer Internship 2027

Introduction

IBM Quantum is seeking motivated engineering students to learn about and develop the world’s first large-scale, fault-tolerant quantum computer. You will work across software, firmware, FPGA development, embedded systems, control electronics, and system integration to support the design of logic units and embedded software for next-generation quantum computing systems.

Your Role And Responsibilities

• Develop, implement, and debug FPGA logic for quantum control and measurement systems.
• Integrate FPGA, embedded software, and hardware components into larger quantum systems.
• Develop software and automation tools for data collection, analysis, and lab instrumentation control. Debug embedded systems, ASICs, and low-level hardware/software interactions.
• Support qubit experiments, calibration routines, and system performance evaluations.
• Collaborate with physics, theory, hardware, PCB, ASIC, and deployment teams.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Pursuing a Masters/or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
• Experience with Python, Jupyter Notebooks, Git, Linux, and command-line environments.
• Experience designing or implementing digital logic on FPGAs.
• Familiarity with HDL development (Verilog, SystemVerilog, or VHDL).
• Experience with embedded systems and laboratory equipment.
• Strong debugging, problem-solving, and communication skills.
• Ability to learn new technologies quickly and work across disciplines.
  
  

Preferred Technical And Professional Experience

• Experience with FPGA development tools such as Xilinx Vivado or Intel Quartus.
• Experience with microcontrollers and low-level programming.
• Familiarity with oscilloscopes, VNAs, spectrum analyzers, and related test equipment.
• Experience with Python-based test automation and instrumentation control (SCPI).
• Experience in one or more of the following:
• FPGA architecture and digital design
• System integration
• PCB design and schematic review
• Signal processing and digital filtering
• Cryogenic test environments
• Cadence or Vivado
• Quantum computing concepts and qubit characterization