GENERAL DESCRIPTION:

We’re looking for an electrical engineer to lead designs and characterize electrical subsystems to assist the development of our quantum test systems. Candidate should be able to work in a fast-paced research environment and at the same time be mindful of maturing engineering processes needed to support full development.

REQUIRED SKILLS:

Knowledge in analog circuit design, RF engineering, low-noise modeling & measurement techniques.
Experience with applied electromagnetism, high-speed design, mixed signal electrical systems (impedance matching, transmission lines, bandwidth and loss, etc.)
Demonstrated ability to work with a wide range of scientific and modeling tools including CAD / simulation, SPICE, HFSS, SI-Wave, Sonnet, ADS, etc.
Solid understanding of industry-standard and best practices related to pcb development processes and system design flows.
Ability and desire to work in a collaborative, team-based environment that integrates different areas of expertise to improve understanding of use cases and overall solution space.

REQUIRED EDUCATION:

Minimum BA/BS + 6 years or Master’s degree + 4 years in electrical engineering, engineering physics or related field, or equivalent knowledge gained through industry experience. Candidates with different experience levels may be considered for other positions.

SPECIAL REQUIREMENTS:

US Citizenship
Ability to obtain and maintain a US Government Security Clearance

Responsible for leading analog circuit analysis to characterize broadband pcb-based electrical systems.
Manage project tasks to develop electrical design solutions and oversee product life-cycles in a fast-paced research environment.
Perform troubleshooting of electronic hardware, including in-depth circuit noise, signal integrity, and RF analysis behavioral modeling analysis.
Work closely with other domain experts performing related functional analyses (e.g. pcb packaging design, IC design, thermal/mechanical analysis, etc.)
Must be comfortable in a prototyping environment that optimizes progress and encourages fast-paced trial and error.