Senior Quantum AI Research Scientist, Applied Research

Description

The company treats quantum computing as a strategic priority and wants to speed up the whole ecosystem, with the aim of integrating AI into its next generation of accelerated quantum supercomputers.

The role is for a senior applied research scientist who combines deep quantum computing knowledge with machine learning to help shape the future of fault-tolerant quantum systems.

Your work will centre on applying AI to quantum error correction, decoding and calibration. You will build open AI models, curated datasets and rigorous benchmarks that the wider quantum community can use, and you will adapt models to specific error-correcting codes and hardware platforms. You will work alongside Product, Engineering and Applied Research teams.

Candidates who enjoy building new technology, working with collaborative people across different countries, and moving quickly are encouraged to apply.

Responsibilities

• Design and build AI and ML models, such as deep neural networks, graph neural networks, transformers and reinforcement-learning agents, for error correction, syndrome decoding, logical operation synthesis and real-time calibration.
• Develop advanced AI techniques for quantum computing that feed into the company's open model work across the quantum ecosystem.
• Create large, high-quality datasets of simulated and hardware-derived syndrome data and system characterisation data so the community can train and evaluate models at scale.
• Work with quantum hardware teams to collect and structure data from real hardware, so models can be adapted to it and improve as the hardware matures.
• Co-design decoders and calibration models with hardware and software teams so they meet latency and throughput targets inside fault-tolerant feedback loops.
• Publish research at leading venues and work with academic and industry partners to move the field forward.

Requirements

• A degree in computer science, physics, applied mathematics, electrical engineering or a related field. A PhD is strongly preferred, but equivalent demonstrated experience is also considered.
• At least 8 years of combined experience in quantum computing and/or AI/ML research, with a record of high-impact work in at least one of these areas.
• Deep expertise in machine learning and deep learning, including model architecture design, large-scale training and evaluation, applied to scientific or engineering problems.
• Strong grounding in quantum information science, including quantum error correction, fault-tolerant protocols and quantum noise models.
• Clear communication and the ability to work effectively with research, engineering and product teams.
• Nice to have: hands-on experience building learned decoders or AI-driven calibration systems for quantum hardware such as superconducting qubits, trapped ions or other platforms.
• Nice to have: experience training and fine-tuning large models, including parameter-efficient methods such as LoRA, QLoRA and adapters, and domain adaptation for scientific AI.
• Nice to have: proficiency with CUDA and the company GPU programming to speed up quantum simulation, AI training or real-time decoding.
• Nice to have: experience with HPC environments and distributed training frameworks such as PyTorch Distributed, Megatron-LM or JAX pmap for large quantum AI workloads.
• Nice to have: a drive to bring AI innovations into the company's software and hardware products that serve the quantum computing ecosystem.

Conditions

The role is hybrid. The base salary range is 192,000 USD to 304,750 USD, set by location, experience and other objective job-related factors.

Applications will be accepted until at least November 3, 2026. This is an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability or any other legally protected characteristic.

Benefits

• The company offers highly competitive salaries and a comprehensive benefits package, which is detailed on its benefits site.