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Experimental Physicist

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Superlinear Computing
Full Time position
Listed on 2026-10-12
Job specializations:
  • Research/Development
    Physics, Research Scientist
Salary/Wage Range or Industry Benchmark: 240000 - 300000 USD Yearly USD 240000.00 300000.00 YEAR
Job Description & How to Apply Below
  • Full-time
Role

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.
Preferred Qualifications
  • 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.
Responsibilities
  • 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.
Entropy Sources
  • 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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