СШАQuantum Engineer (Neutral Atom)
1 мес. назад
120k–180k USD / годСША
quantum computingquantum circuitshardware calibrationai integration
Develop and optimize quantum computing hardware and infrastructure, focusing on neutral atom technology.
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 neutral atom stack: from developing the calibration that makes a tweezer array 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.
- Optimize the routines that carry a system from first trapping to a defect-free array. Drive up loading, survival, and uniformity across sites, and cut the time it takes to reach a filled array.
- Develop the imaging and readout calibration that holds fidelity steady as a system drifts. Push single-qubit and Rydberg two-qubit gates to the fidelity our partners need. Maintain a state preparation and measurement error budget where every contribution is attributable.
- 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 the software that keeps a system stable and online. Keep the cooling, trapping, Rydberg, and Raman lasers locked without a human in the loop. Automate recovery when they drift or drop out.
- Diagnose drift, atom loss, and fidelity degradation, and define the monitoring and recovery a tweezer array needs to run unattended. Control array geometry and characterize per-site trap depth from software. Write or adapt control software for arbitrary waveform generators, direct digital synthesizers, field-programmable gate arrays, cameras, and real-time rearrangement hardware. Own the sequencing timeline, from first trapping through rearrangement, gates, and readout.
- 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.
- Map the neutral atom calibration problem end to end, from first trapping through rearrangement, gates, and readout. Define which parts a calibration platform should automate first, and in what order.
- Sit with customers and partners to see where neutral atom control inefficiencies become bottlenecks for their productivity. Pick the friction point that annoys you most and architect a solution.
- Develop your first automated characterization and calibration loop that adjusts calibration parameters based on experimental results.
- Stand up automated control for a complete sub-pipeline, such as trapping through single-qubit operations, as the foundation for full trapping-to-gate automation.
- Ship your first contribution to the automated calibration routines. Start with trap depth homogenization across sites, imaging and readout calibration, or Raman gate tuning.
- Fix the friction point you found in your first month, and propose the highest leverage things the team can do in neutral atoms.
- Have at least one calibration improvement in production that has moved a key metric. State preparation and measurement fidelity, time to a defect-free array, and homogenized trap depths are examples of what we track.
- Lead neutral atom operations at Conductor.
- Drive the control and calibration roadmap, including which systems we bring onto the platform next.
- 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.