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AI Systems Engineer (NM)

Conductor Quantum· Engineering
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Hybrid (Albuquerque, NM)$75k - $125k + equityFull-timePosted 2mo ago

About the role

Role focused on building AI software to control quantum hardware, including calibration, control of qubits, and a natural language interface for researchers and AI agents at Conductor Quantum.

Responsibilities

  • Work directly with world-leading quantum companies and research labs to identify needs, shape product features and roadmaps, and demonstrate capabilities through demos, documentation, and interactive applications.
  • Develop Python pipelines to analyse large device datasets. Build and deploy machine learning models for real-time qubit optimisation. Apply Bayesian optimisation and reinforcement learning to calibration challenges.
  • Analyse data from various quantum devices to extract quantum features, performance metrics, and optimisation opportunities. Develop simulation models and integrate with control electronics.
  • Build and maintain full-stack web applications. Deploy ML models on cloud platforms (AWS/GCP/Azure). Build back-end services for data collection, labelling, and inference. Own the natural language interface for humans and AI agents.
  • Architect, build, and maintain the next-generation control and calibration stack for quantum hardware, including the AI-to-QPU integration layer and the interface between agents and quantum hardware.

Qualifications

  • Experience: Any (new grads ok)
  • Visa: US citizen/visa only

Skills

Required:PythonMachine learningCalibration and control of quantum hardwareFull-stack developmentNatural language interface

Benefits

  • Free healthcare, dental, and vision
Last updated Aug 26, 2026. Interested? Apply on the company site.
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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.

artificial-intelligencehard-techmachine-learningquantum-computingsemiconductors
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