Demonstrate expertise with and performs measurement techniques to advance quantum practices and devices Identify opportunities to streamline and automate quantum measurements Develop hypotheses, designs experiments, and modify future experiments based on results Seek, understand, and utilize technical input across technical fields Other Bachelor's Degree in Physics, Electrical Engineering or related field AND 6+ years' experience in industry or in a research and development environment OR Master's Degree in Physics, Electrical Engineering or related field AND 4+ years' experience in industry or in a research and development environment OR Doctorate in Physics, Electrical Engineering or related field AND 1+ years' experience in industry or in a research and development environment Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation). Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs) Bachelor's Degree in Physics, Electrical Engineering or related field AND 8+ years' experience in industry or in a research and development environment OR Master's Degree in Physics, Electrical Engineering or related field AND 6+ years' experience in industry or in a research and development environment OR Doctorate in Physics, Electrical Engineering or related field AND 3+ years' experience in industry or in a research and development environment OR equivalent experience. 8+ years of experience with electrical transport measurements in mesoscopic semiconductor or superconductor devices at cryogenic temperatures 8+ years of experience with sub-Kelvin cryogenics (e.g. dilution refrigerator, He3 cryostat) 8+ years of experience with Python coding and version control tools (e.g. Git) Experience with superconductor-semiconductor hybrid materials or III/V semiconductors Experience with radio-frequency (RF) characterization of superconducting resonators Demonstrated ability to work effectively in interdisciplinary teams with a focus on materials and process optimization
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
This role exists to validate physical device behavior and refine experimental procedures during hardware development. Positioned between materials design, device fabrication, and systems engineering teams, the position provides empirical characterization of quantum hardware components. Engineers in this function conduct low-temperature physical measurements, refine data collection methods, and integrate automated tools to accelerate experimental cycles. By translating physical observations into feedback for fabrication and architecture teams, the role supports continuous iteration, ensuring physical devices meet necessary operational criteria for broader system integration.
Quantum ecosystem relevance:
The role contributes to enabling infrastructure by establishing precise characterization routines for physical quantum hardware. Accurate physical testing at sub-Kelvin scales is crucial for identifying material defects, improving coherence times, and evaluating new device designs. By establishing reliable testing protocols and integrating modern automation into experimental procedures, this position supports the foundational hardware layer of the quantum ecosystem, aiding the transition of experimental devices into scalable, reliable architectures capable of performing complex quantum information processing tasks.
Capability signals:
- Advanced expertise in sub-Kelvin cryogenic transport measurements and device characterization techniques
- Demonstrated proficiency with high-frequency radio-frequency measurements of physical resonator components
- Proven track record developing automated experimental data collection and analysis routines
- Strong experience integrating physical measurement feedback into ongoing material design processes
- Ability to build specialized automated tools for experimental workflow optimization