AI Systems Engineer

About the Role

As a Member of Technical Staff, you will shape Conductor's core offerings: AI software that controls quantum hardware. From agentic quantum algorithm discovery and circuit generation tools, all the way down to calibration and control of low-level qubit pulses. You will architect, build, and maintain the next-generation control and calibration stack, as well as the first natural language interface for quantum computing, suitable for both human researchers and AI agents.

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 analyze large device datasets and build/deploy machine learning models for real-time qubit optimization.
• Apply advanced techniques such as Bayesian optimization and reinforcement learning to solve calibration challenges.
• Analyze data from various quantum devices to extract quantum features, performance metrics, and optimization opportunities.
• Develop simulation models using advanced computational techniques and quantum physics to replicate device behavior.
• Integrate with control electronics such as arbitrary-waveform generators, microwave sources, and digital-to-analog converters.
• Build and maintain full-stack web applications and deploy machine learning models on cloud platforms (AWS/GCP/Azure).
• Build back-end services for data collection, labeling, and inference, and integrate with external systems for secure, reliable performance.
• Own the natural language interface that makes the platform accessible to both humans and AI agents.

First 30 / 60 / 90 Days

• 30 Days: Get deep on the current calibration stack, data pipelines, and customer integrations. Pair with quantum engineers on at least one hardware-facing task and see the lab realities your software serves. Design the system architecture for the AI-to-QPU integration layer.
• 60 Days: Ship your first meaningful improvement to the calibration pipeline or the natural language interface. Identify the single highest leverage engineering improvement and align the team on it. Have a clear architectural proposal for the next phase of the software stack.
• 90 Days: Have at least one improvement in production that has moved a key metric (e.g., time to a calibrated device, calibration success rate, interface latency). Establish engineering practices the whole team builds on. Shape the product strategy and direction of the company.

The Team

We are a small, passionate founding team of quantum physicists, hardware engineers, and machine learning experts. Our founders, Brandon and Joel, met at Oxford during their PhDs working on AI for quantum computing, where 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.

Qualifications

• High intelligence, high energy, and high integrity.
• People who are hungry to change the world and do not need to be told what to do next.

Benefits

• Free healthcare, dental, and vision.
• Work on the most important technical problem of our generation.