About us

Silicon Quantum Computing is pioneering the future of quantum technology. As the world’s first company to manufacture qubits with atomic precision, we’re delivering quantum advantage today, not decades from now.

Founded by Professor Michelle Simmons, one of the world’s leading materials scientists, SQC has achieved major breakthroughs including the first single-atom transistor and the first integrated circuit built with atomic precision. Our Chair, Simon Segars, former CEO of ARM, brings deep global experience as we scale our technology and commercial impact.

Our quantum machine learning chip, Watermelon, is already accelerating AI in ways classical systems can’t match. We’re generating significant revenue and working closely with multinational partners to solve complex problems with quantum solutions.

SQC is a fast-paced, high-accountability environment where people grow quickly and contribute meaningfully. If you’re excited by deep tech, ambitious about your career, and ready to help shape the future of computing, we’d love to hear from you.

About the role

We're hiring a Quantum AI Engineer to play a pivotal role in designing and deploying machine learning models that integrate with our globally unique quantum processors. Based out of our office at UNSW Sydney, you’ll sit within the Software Engineering team and collaborate closely with quantum engineers, hardware specialists, and customer organisations to build high-impact ML pipelines on our Watermelon quantum devices.

This role is ideal for someone who thrives at the intersection of cutting-edge AI and quantum technology. You’ll help shape real-world applications across finance, energy, telco, defence and beyond - working with internal and external ML experts to deliver tailored, outcome-driven solutions that push the boundaries of what’s possible.

Role responsibilities

• Design, develop, and deploy machine learning models that integrate with SQC’s quantum systems.
• Collaborate with internal quantum engineering teams and external customers to define use-cases and deliver fit-for-purpose ML solutions.
• Translate business requirements into technical problem statements and model architectures.
• Build and optimise ML pipelines for classification, inference, and decisioning tasks.
• Advise customer ML teams on model selection, tuning, and integration with quantum-enhanced workflows.
• Work closely with quantum physicists and software engineers to realise result-driven AI/ML pipelines on multi-qubit quantum devices.
• Evaluate and recommend tools, frameworks, and techniques to improve model performance and scalability.
• Stay abreast of emerging trends in machine learning, quantum computing, and applied mathematics.
• Contribute to a safe and inclusive working environment, identifying and managing risks in your area of responsibility.

Your experience

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field.
• Proven track record in developing and deploying ML models with measurable business impact.
• Deep understanding of ML paradigms, architectures, and optimisation techniques.
• Strong mathematical foundation, with exposure to quantum computing or quantum mechanics (academic or practical).
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies.
• Familiarity with data engineering practices and pipeline development.
• Ability to define clear problem statements and select appropriate modelling approaches.
• Strong communication skills and ability to collaborate across technical and non-technical teams.

The recruitment process

For roles at SQC, expect 3-4 interviews, meeting a few members of the team and focusing on your core eligibility for the role, your skills and how they align, and finally your values and how they align. We'll give you a more specific runthrough if you're successful in making it to the first interview.

As part of our obligations to our customers, we require that successful candidates submit to background checks, including a National Police Check, Right to Work checks, as well as employment and qualifications verification. We won't contact anyone until we're confident there's a fit between SQC and yourself.

How to apply

The best and simplest way is to apply directly here, rather than messaging anyone on the SQC team directly. If you have any questions that you'd like answered before committing to applying, please feel free to email us at careers@sqc.com.au.