AI Systems Engineer
About the role
Role focused on building AI software to control quantum hardware, including calibration, control of qubits, full-stack development, and a natural language interface for quantum computing.
Responsibilities
- Customer Engagement and Product Strategy: Work with quantum companies and labs to identify needs, shape features and roadmaps, and demonstrate capabilities via demos, documentation, and interactive applications.
- Data Analysis and Machine Learning: Develop Python pipelines to analyze device data; build/deploy ML models for real-time qubit optimization; apply Bayesian optimization and reinforcement learning to calibration challenges.
- Quantum Engineering and Simulation: Analyze data from quantum devices to extract features and metrics; develop simulation models; integrate with control electronics (arbitrary-waveform generators, microwave sources, DACs).
- Full-Stack Development and Scalable Infrastructure: Build and maintain full-stack web apps; deploy ML models on AWS/GCP/Azure; build back-end services for data collection, labeling, and inference; integrate with external systems; own the natural language interface.
Qualifications
- Any (new grads ok)
- US citizen/visa only
- Skills: Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Python, Redis, Machine Learning, Reinforcement learning (RL), Design systems, Next.js, FPGAs
Skills
Benefits
- Free healthcare, dental, and vision
- Work on the most important technical problem of our generation
About Conductor Quantum
Quantum computers on silicon chips using AI.
Quantum computers will allow humanity to understand the world at its most fundamental level, enabling the acceleration of drug discovery and the development of new materials. Currently, quantum engineers spend days, sometimes weeks, manually getting their silicon chips to operational conditions to realize two qubits. A qubit is the information-carrying unit of a quantum computer, analogous to a bit in a classical computer. We need billions of qubits to make a useful quantum computer. Therefore, automation software will be vital to realizing this goal. Conductor Quantum will develop AI software to remove the human from the loop, enable the scaling of silicon quantum technology and build a silicon-based quantum computer.
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