СШАQuantum Engineer (Ion Trap)
1 мес. назад
120k–180k USD / годСША
quantum computing
Engineer role focusing on quantum computing hardware and software automation for qubit calibration and operation.
О компании
- High intelligence, high energy, and high integrity. Obsessive about where the error budget goes. Relish the challenge and chaos of real hardware. People who are hungry to change the world and do not need to be told what to do next.
Обязанности
- You will work across the full trapped ion stack: from developing the calibration that makes an ion trap run itself, all the way to hosting it online as a platform that human researchers and AI agents can build on. This is a high-impact, high-ownership role. You will define best practices, influence product strategy, and help lay the foundation for 's culture and growth.
Условия
- Free healthcare, dental, and vision
- Work on the most important technical problem of our generation
Другое
- is building quantum superintelligence.
- Quantum superintelligence is an AI that uses quantum computers to surpass the capabilities of humanity's greatest minds. We are closer to that inflection point than most people realize. Frontier models are approaching general intelligence, and AI can already generate quantum circuits faster than humans can write them. The question is no longer whether quantum and AI converge; it is who builds the infrastructure to make that convergence reliable, scalable, and useful.
- That infrastructure starts with the hardware. The biggest bottleneck in quantum computing today is not qubit count; it is the manual configuration that keeps those qubits from being usable. Our software automates calibration and operations across qubit platforms, turning raw hardware into a stable, ready-to-run platform accessible through a simple chat interface. By solving that bottleneck, we are enabling thousands, and eventually billions, of qubits to operate at scale.
- The result is a quantum computer as easy to use as ChatGPT. The first billion users are coming. The majority, we believe, will be AI agents.
- Today, AI generates production code faster and more reliably than most of the world's software engineers. Code is math; math is an instruction set; an instruction set is a quantum circuit. AI is already generating quantum circuits. It just needs reliable hardware to run them on, well-calibrated qubits to use, and a feedback loop tight enough to discover new algorithms autonomously.
- The world's most capable AI models are being pointed at B2B SaaS. We are pointing ours at the frontier of science.
- 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.
- 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.
- 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.
- 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.
- 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.
- Get fluent in the calibration software stack and understand how it maps to trapped ion hardware.
- Develop your first calibration sequence end to end, from ion loading to two-qubit gate fidelity.
- Sit with customers and partners to see where the platform breaks down for them. Pick the friction point that annoys you most.
- Develop a full calibration cycle end to end, from an empty trap to two-qubit gates.
- Ship your first contribution to the automated calibration routines. Start with cooling, single-qubit gates, or Mølmer-Sørensen two-qubit gates.
- Fix the friction point you found in your first month, and propose the highest leverage things the team can do in trapped ions.
- Have at least one calibration improvement in production that has moved a key metric. Two-qubit gate fidelity, heating rate, and time to a ready chain are examples of what we track.
- Lead trapped ion operations at Conductor.
- Drive the control and calibration roadmap, including which systems we bring onto the platform next and whether the control stack transfers between them.
- We are a small, passionate founding team of quantum physicists, hardware engineers, and machine learning experts. Our founders, Brandon and Joel, met each other at Oxford during their PhDs working on AI for quantum computing. There they saw first-hand that calibration and control is a core bottleneck to scaling quantum computers.
- This is your opportunity to do the best work of your life as part of that founding team.