Quantum System Design ScientistEngineer
Company | Keysight Technologies, Inc. |
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Location | Everett, WA, USA |
Salary | $138960 – $231600 |
Type | Full-Time |
Degrees | Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- Advanced degree in Electrical Engineering, Computer Science, Physics, or a related field.
- Track record of running/troubleshooting Quantum systems. Excellent problem-solving skills and attention to detail, with the ability to tackle complex challenges in quantum computing.
- Experience with Keysight ADS/QuantumPro or other EDA environments (e.g., CST Microwave Studio, EMPro, Ansys HFSS, COMSOL Multiphysics).
- Extensive knowledge and hands-on experience designing qubits, and quantum amplifiers, and integrating them into Quantum systems.
- Strong proficiency in scientific programming in the context of developing tools for Quantum design. Preferably in Python.
- Can research Quantum-specific topics translating things from the application side to the development.
Responsibilities
- Develop and implement cutting-edge tools tailored to the design of superconducting quantum systems and other types of qubits.
- Collaborate closely with cross-functional teams to design and refine Quantum EDA solutions and workflows for quantum computing applications.
- Drive the validation and verification process of system models, ensuring accuracy and reliability in predicting qubit behavior and performance.
- Architect and optimize computational workflows to address specific challenges inherent in superconducting qubit systems and their Hamiltonian representations.
- Stay abreast of the latest advancements in computational electromagnetics and quantum computing, actively contributing to ongoing research initiatives.
- Be flexible and willing to work with teams in the US and Asia time zones.
Preferred Qualifications
- Knowledge or experience in the Hamiltonian analysis of superconducting quantum circuits.
- Can prototype features with scripting in Python within the ADS environment.
- Can benchmark against published literature data.
- Familiarity with parallel computing techniques and high-performance computing (HPC) environments.