Work schedules are flexible with in-office requirement of 3 days / week. Design scalable readout circuitry for topological qubits. Interface across teams to codesign the readout system with evolving qubit designs and control requirements, while making efficient use of company expertise. Document work, analyze, interpret and present simulation results, and participate in opportunities to present to customers and network with peers. Use engineering best practices to build tools and processes necessary to enable progress in quantum research. You'll incorporate tips and techniques and help develop tools for users to aid in work internally and externally. Uphold safety standards and practices including compliance with policies, adherence to safety in a variety of work environments, and escalating issues with appropriate urgency. You may assist in defining and implementing safety protocols. Embody our Culture and Values Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment OR equivalent experience. Ability to leverage artificial intelligence (AI) tools to drive innovation and efficiency (e.g., measurement, performance modeling and analysis, research gathering, day-to-day task automation). Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development. Doctorate in Physics, Engineering, OR related field AND 3+ years experience in industry OR Master's Degree in Physics, Engineering, OR related field AND 6+ years experience in industry OR in a research and development environment OR Bachelor's Degree in Physics, Engineering, OR related field AND 8+ years experience in industry Experience with semiconductor devices or spins in semiconductors. Experience with cryogenic microwave experiments and low-noise amplifiers. Proficient verbal and written communication skills.
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
This role exists to bridge quantum hardware research and signal processing architecture. Positioned within advanced hardware engineering teams, the position acts as a technical link between qubit developers and system integration specialists. Engineers in this discipline translate quantum physical states into readable classical data, ensuring signal fidelity and low noise. By designing scalable measurement infrastructure, professionals in this function allow research organizations to bridge experimental quantum device operations with stable classical control systems necessary for reliable long-term quantum computation execution.
Quantum ecosystem relevance:
The role contributes to the quantum ecosystem by advancing readout fidelity and scalability within quantum hardware architectures. High-precision measurement is critical for error mitigation and operational validation in quantum systems. Positioned at the hardware-software interface layer, this function enables effective state measurement essential for algorithm execution. Progress in readout design directly supports broader industry efforts to transition experimental quantum processors into fault-tolerant, commercial-grade computing systems across complex technological research environments.
Capability signals:
- Advanced expertise in designing scalable readout circuitry for specialized qubit architectures
- Deep technical knowledge of cryogenic microwave measurement systems and low-noise amplifier integration
- Strong proficiency in semiconductor devices and semiconductor spin physics research applications
- Ability to leverage modern artificial intelligence tools for measurement and performance modeling
- Experience cross-functionally co-designing hardware systems alongside evolving control requirements
