Quantum Control Systems Engineer (Hardware & Embedded Systems)
IBM · Yorktown Heights, NY · 4 days ago
On-siteEngineeringFull-time
Your Role And Responsibilities
- Support the bring-up, wiring, debug, and characterization of novel quantum computing and quantum control electronics systems
- Integrate highly complex components into large-scale quantum systems
- Design and evaluate test infrastructure for signal wiring, amplifiers, cryogenic components, and control electronics
- Operate, debug, and characterize systems using lab instrumentation at both room and cryogenic temperatures
- Develop and run experiments to benchmark novel control electronics
- Write software and firmware to control measurement and test equipment
- Develop automated software for collecting, analyzing, and visualizing experimental data
- Write calibration routines and experiments for evaluating quantum processors and control electronics
- Analyze ISA documentation and assembly output to trace and debug ASIC behavior
- Collaborate across experimental, hardware, IC design, PCB, firmware, software, and deployment teams to deliver integrated solutions
Required Technical And Professional Expertise
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics (with EE/CE experience), or a related field
- Proficiency in Python, Jupyter Notebooks, and Git version control
- Experience working in Linux and command-line environments
- Hands-on experience working in a laboratory environment
- Strong debugging and problem-solving skills
- Ability and willingness to learn new technologies quickly
- Strong communication skills and enthusiasm for cross-disciplinary collaboration
Preferred Technical And Professional Experience
- Master’s degree in Electrical Engineering, Computer Engineering, or Physics (with EE/CE experience)
- Experience with one or more of the following:
- Embedded firmware, FPGAs, microcontrollers, or low-level programming languages
- C, VHDL, assembly language experience
- Hardware/software co-debug and system integration
- Automated test and measurement control using Python and SCPI
- Electrical test equipment such as oscilloscopes, VNAs, spectrum analyzers, and TDRs
- Cryogenic systems and low-temperature test environments
- RF and microwave electronics, signal integrity, and signal processing techniques
- PCB design, layout, and schematic interpretation
- ASIC interaction and debug using ISA or assembly-level analysis
- Cadence and Vivado tools
- Basic quantum computing concepts (gate operations, Bloch sphere, etc.)
- Common qubit measurements (T1, T2, Rabi, Ramsey, etc.)