Quantum Systems Engineer — Autonomous Calibration & Ion‑Trap Ops

Conductor Quantum; San Francisco (CA); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Free healthcare, dental, and vision

Work on the most important technical问题

Job summary

Conductor Quantum in San Francisco is building quantum superintelligence and seeks a hardware-focused engineer to span the full trapped ion stack, from calibration routines to hosting the platform online for researchers and AI agents.

You will collaborate with physicists, ML engineers, and backend developers to integrate hardware, software, and data pipelines, shaping best practices and contributing to the roadmap.

Responsibilities

• Ion loading and cooling: Develop the routines that carry a system from an empty trap to a cold, ordered ion chain. Drive up loading reliability, Doppler and sideband cooling, and chain lifetime. Cut the time it takes to reach a chain that is ready to run.
• Qubit control and characterization: Push single‑qubit and Mølmer‑Sørensen two‑qubit gates to the fidelity our partners need. Calibrate, benchmark, and know whether the remaining error is coming from motional heating, laser noise, or mode structure. Own shuttling fidelity where the system uses it, including the electrode waveforms that move ions without heating them.
• Calibration automation: Encode expert tuning into software the platform runs on its own. Close the loop with the software and machine learning teams so calibration recovers without a physicist in the room.
• System performance and control stack: Develop what keeps a system stable and online. Diagnose micromotion, mode drift, ion loss, and fidelity degradation, and define the monitoring and recovery a trapped ion system needs to run unattended. Write or adapt control software for acousto‑optic modulators, arbitrary waveform generators, direct digital synthesizers, field‑programmable gate arrays, and multichannel direct current voltage sources. Build the drivers and abstractions that let one control stack speak to many systems.
• Collaboration and system integration: Work closely with physicists, machine learning engineers, and backend developers to integrate hardware, software, and data pipelines into a unified quantum control stack. Provide feedback on usability, stability, and performance from a hardware and systems perspective.

Job description

Conductor Quantum in San Francisco is building quantum superintelligence and seeks a hardware-focused engineer to span the full trapped ion stack, from calibration routines to hosting the platform online for researchers and AI agents.

You will collaborate with physicists, ML engineers, and backend developers to integrate hardware, software, and data pipelines, shaping best practices and contributing to the roadmap.