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Experimental Physicist
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-10-12
Listing for:
Superlinear Computing
Full Time
position Listed on 2026-10-12
Job specializations:
-
Research/Development
Physics, Research Scientist
Job Description & How to Apply Below
- Full-time
You will work with the entropy sources on the bench in our Palo Alto lab and with the superconducting hardware in our Chicago lab. You own attribution: tracing what these systems produce to their physical origin.
You would be part of the core team, with a seat in every decision that touches the program. Every member shapes what we build, and we expect you to drive the ideas that change our direction.
Requirements- A Master's degree (or an equivalent experimental record) in experimental physics, quantum optics, or precision measurement;
PhD preferred. - A record of tracing noise in a measurement chain to its physical origins — in quantum hardware, precision metrology, gravitational-wave detection, or optical systems.
- Time-series and spectral analysis: periodicities, non-stationarity, correlations.
- Analog front-end and data-acquisition artifacts: photodetector and amplifier noise, ADC and clock behavior, grounding and EMI.
- Experience characterizing or validating entropy sources or randomness generation.
- You have tested a hypothesis your field considered closed, and can show the result.
- ML on measurement streams.
- Optical bench experience: lasers, photodetectors, fiber, and their noise physics.
- Hands-on superconducting qubit measurement: coherence measurements, dispersive readout, microwave control.
- Microwave signal-chain fluency (IQ mixing, heterodyne readout, pulse shaping).
- Depth in TLS physics, flux noise, readout crosstalk, or amplifier-chain characterization.
- Attribute observed output structure to its physical origin, and state the disposition.
- Analyze output streams for periodicities, drift, correlations, and statistical significance.
- Characterization of the acquisition chain from detector to bits.
- Characterize and assess the entropy of the sources we are developing.
- Figures of merit for the ML-driven characterization pipelines our engineering team builds.
- Attribution reports that engineering acts on.
- Compensation: $240,000–$300,000 base plus equity, commensurate with experience.
- Relocation support if needed.
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