Conductor Quantum

Conductor Quantum 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 realise. 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 for spin and superconducting-qubit systems, turning raw cryogenic 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 reliably 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. Why Now Today, AI generates production code faster and more reliably than most of the world's software engineers. AI is already generating quantum circuits. It just needs reliable hardware to run them on, well-calibrated qubits to utilise, 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. Role Overview 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 code 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. You will also build and maintain the first natural language interface for quantum computing, suitable for both human researchers and AI agents. This is a high-impact, high-ownership role for a senior engineer or ex-founder who has built complex systems before and wants to work on something that matters. You will define best practices, influence product strategy, and help lay the foundation for Conductor's culture and growth. Key Responsibilities Customer Engagement and Product Strategy 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. Data Analysis and Machine Learning Develop Python pipelines to analyse large device datasets. Build and deploy machine learning models for real-time qubit optimisation. Apply advanced techniques such as Bayesian optimisation and reinforcement learning to solve calibration challenges. Quantum Engineering and Simulation Analyse data from semiconductor spin qubit and superconducting qubit devices to extract quantum features, performance metrics, and optimisation opportunities. Develop simulation models using advanced computational techniques and quantum physics to replicate device behaviour. Integrate with control electronics such as arbitrary-waveform generators, microwave sources, and digital-to-analog converters. Full-Stack Development and Scalable Infrastructure Build and maintain full-stack web applications. Deploy machine learning models on cloud platforms (AWS/GCP/Azure). Build back-end services for data collection, labelling, and inference. Integrate with external systems for secure, reliable performance. Own the natural language interface that makes our platform accessible to both humans and AI agents. First 30 / 60 / 90 Days 30 Days Deeply understand the current calibration stack, data pipelines, and customer integrations Own multiple customer-facing integrations end to end Pair w

Conductor Quantum 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 realise. 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 for spin and superconducting-qubit systems, turning raw cryogenic 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 reliably 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. Why Now 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 utilise, 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. Role Overview You will work across the full quantum stack: from taking a chip fresh out of the foundry 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 Conductor Quantum's culture and growth. Key Responsibilities Quantum Device Fabrication and Bring-Up Take quantum dot devices from the lab bench to operational readiness. Perform wire bonding, device packaging, and chip mounting for cryogenic testing. Design and fabricate custom PCBs for signal routing, filtering, and integration with control electronics. Experimental Setup and Measurement Infrastructure Build and maintain cryogenic measurement setups including dilution refrigerators, fridge wiring, and line testing. Specify, install, and test hardware components such as low-noise amplifiers, DC lines, filters, bias tees, and microwave components. Develop robust procedures for cooldowns, thermal cycling, and system diagnostics. Device Tuning and Characterisation Run transport, rf-reflectometry, and charge sensing measurements to identify quantum dot and spin qubit formation, tune gate voltages, and extract stability diagrams. Optimise device configurations through iterative tuning. Collaborate with software and ML teams to close the loop on automated calibration routines. Lab Development and Instrument Control Lead setup and scaling of the experimental lab environment. Define lab requirements, spec out measurement equipment, and manage lab logistics. Write or adapt control software to interface with waveform generators, DACs, and lock-in amplifiers. Collaboration and System Integration Work closely with physicists, ML 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. First 30 / 60 / 90 Days 30 Days Wire bond a device, load it into the dilution fridge and perform a full cooldown. Sit with customers to see where the platform breaks down for them. Identify one friction point and propose a fix.   60 Days Run and automate standard qubit calibration routines and tw