
Quantum Motion · Sydney, AU
ABOUT THE ROLE AND TEAM The Quantum Hardware Team specialises in designing, validating and operating quantum processors based on silicon industrial technology....
The Quantum Hardware Team specialises in designing, validating and operating quantum processors based on silicon industrial
technology.
As a Quantum Engineering Intern, you will work closely with our senior engineers and researchers to assist in the design, testing,
and optimization of quantum hardware. This role is designed for students or recent graduates who are passionate about quantum
mechanics and eager to gain hands-on experience in a fast-paced deep-tech environment.
Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with additional labs and offices in Spain,
Australia and the US, founded by internationally renowned researchers from University College London and Oxford University with
over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state-of-the-art cryogenic
facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial-grade silicon
chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial
intelligence and more.
This role forms part of our investment in state-of-the art facilities in Sydney, Australia. It reflects our commitment to driving
innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into Australia’s
strongest semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team
which is shaping the future of quantum computing.
As part of our lean, high-impact and rapidly growing team, you will be working closely with our scientists, engineers and experts
in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development
of scalable quantum computers based on silicon technology.
Since 2021 our team has been listed every year in the “Top 100 Startups worth watching” in the EE Times, and our technology
breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned
researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our
chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We’re
backed by a team of top-tier investors, and we have recently closed our Series C funding of $160 million.
We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software
engineers to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative
and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting-edge research and development environment
focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology.
Our team of 110+ is based in the UK (Oxford and London), Australia (Sydney), Spain (San Sebastián) and the US.
the hardware team.
presentations
Note: The desirable experience requirements are not necessary for the role but would be considered as an advantage for the
candidate.
refrigerators and advanced measurement platforms.
focus on on achieving specific project goals.
Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual
orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment, religion
or any other protected characteristics covered by the Equality Act 2010.
OVERVIEW This internship focuses on advanced defence and security technology development. The role is suited to a PhD-level researcher with strong technical grounding in software security, cyber technologies, and embedded or distributed systems. This placement can be between 3- and 6-months duration with a flexible start date, and is suitable for PhD students who have completed their first year of study. There is no deadline for this role, as we recruit on a rolling basis. Once the position is filled, we will close the advert. We encourage you to apply as soon as possible. WHAT YOU'LL BE DOING * Contribute to research and development of secure systems across defence and security domains. * Support the creation of novel security technologies, including areas such as threat landscaping, post-quantum cryptography, privacy-enhancing technologies, and trusted execution approaches. * Investigate and prototype embedded and distributed software for constrained, safety-critical, or adversarial environments. * Perform threat analysis, security architecture reviews, and experimental validation of new techniques. * Collaborate with multidisciplinary teams covering software, electronics, RF, AI, autonomy, and communications. * Participate in full lifecycle development activities, including design, implementation, testing, and documentation. WHAT YOU CAN BRING Current PhD study in Computer Science, Engineering, Mathematics, Physics, or a related discipline. You will also have: * A background in software or hardware engineering, with a demonstrable interest in cybersecurity research. * Knowledge of one or more programming languages such as Python, C/C++, Rust, Go, or similar. * The ability to undertake technical investigations and communicate findings clearly. * Eligibility to obtain UK Security Clearance. Desirable experience: * Experience in embedded software development or hardware–software interactions. * Experience in security for IoT, robotics, autonomy, or smart infrastructure. * An understanding of regulatory or assurance environments for security-critical systems. Some projects at Cambridge Consultants are subject to security restrictions. This role requires you to obtain a Security Check level security clearance ( https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant ). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria. WORKING ENVIRONMENT A successful intern will work within the Defence and Security business unit, engaging with experienced engineers and researchers on high‑impact client and internal R&D projects. Work may involve both on‑site and laboratory‑based activities. ---------------------------------------------------------------------------------------------------------------------------------- By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. ----------------------------------------------------------------------------------------------------------------------------------
THE ROLE The Applied Machine Learning Engineer will be a member of Terra Quantum's AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision, natural language processing, and generative AI. The Engineer will own the classical machine learning craftsmanship that makes those solutions work, from data exploration and feature engineering through to model selection, hyperparameter optimisation, training pipelines, evaluation, and client delivery. A subset of the models built by the team incorporate a quantum layer; the Engineer is expected to treat that layer as one architectural component of an otherwise classical pipeline, and to apply the full toolkit of classical ML methods (including tree-based methods, boosting, deep learning, and classical optimisation) to make hybrid solutions perform reliably on real industrial data. The Applied Machine Learning Engineer plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally. THE RESPONSIBILITIES The Applied Machine Learning Engineer should expect to work in one and supporting in the other areas of the following AI Applied Research Team activities. * Building and delivering industry machine learning solutions * Designing end-to-end ML pipelines for client problems in time series, routing and planning, GenAI, natural language processing, computer vision, and predictive modelling * Choosing the right classical method for the problem (gradient-boosted trees such as XGBoost or LightGBM, random forests, deep neural networks, kernel methods, classical optimisers) based on data characteristics, not framework preference * Treating the quantum layer (when present) as a constrained component of the model and using classical ML tradecraft (feature engineering, regularisation, training schedules, hyperparameter sweeps) to make the hybrid pipeline work * Classical machine learning craftsmanship in service of hybrid models * Doing the unsexy parts of an ML pipeline well: data cleaning, leakage protection, cross-validation design, baseline construction, statistical significance testing * Designing feature representations that align with the quantum component when one is present, including Fourier-spectrum features and other quantum-aware encodings that classical models can also consume * Profiling and improving training stability when gradients are noisy or non-standard, in cooperation with the quantum research team * Contributing to our internal ML libraries and SDK so that future client engagements can re-use what one engagement built * Supporting research and applied product development * Translating proposed quantum machine learning algorithms and ansätze from the research team into testable implementations within classical ML pipelines * Helping evaluate where and why a quantum layer adds measurable benefit on applied tasks, and, just as importantly, where it does not THE REQUIREMENTS The Applied Machine Learning Engineer is expected to have several qualifications depending on the area of activity. * Completed a Master's degree in computer science, applied mathematics, data science, statistics, engineering, physics, or equivalent subject * Hands-on experience with classical machine learning through coursework, an industrial internship, a research project, or a first junior role, and a clear interest in continuing in applied ML * Strong command of Python, the standard data science stack (NumPy, pandas, scikit-learn), and at least one deep learning framework (PyTorch or TensorFlow) * Comfort across the classical ML toolkit beyond deep learning, including tree-based methods (XGBoost, LightGBM, random forests), gradient boosting, and kernel methods, with good judgement about which method fits which problem * Experience designing rigorous experiments (cross-validation, baseline construction, statistical testing, hold-out evaluation) and reporting the results honestly with appropriate uncertainty * Software engineering fundamentals: version control with Git, testing, reproducible environments, configuration-driven experiments * Curiosity about quantum computing and a willingness to pick up the necessary quantum concepts on the job. Formal quantum education is not required, and experience with frameworks such as PennyLane, Qiskit or Cirq is a plus rather than a requirement * Familiarity with at least one applied ML vertical such as time series forecasting, NLP, computer vision, or industrial optimisation is a plus * Goal-oriented and analytical, with the ability to work independently and as part of an interdisciplinary team * Proficiency in written and spoken English * Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role. The Rewards We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect: * An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team * Gain knowledge of some of the most cutting-edge technology developments in science & engineering * A chance to be part of one of Europe’s leading technology firms of the upcoming decades * Welcoming, friendly, and professional colleagues * A personal development plan with clear goals for advancement * A competitive salary * Flexible working arrangements * A diverse and supportive atmosphere, where innovation and initiative are encouraged If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk! Company description Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum. At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise. Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now. Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally. * Our purpose is to pioneer quantum technologies to change the world for good, * Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and * Our mission is to unleash the power of quantum tech to deliver meaningful solutions today Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.
Alice & Bob is adeep-tech companypioneering new breakthroughs in quantum computing. Joining us means working at the intersection of science and innovation, alongside passionate scientists dedicated to solving some of the most complex challenges in technology. We are looking for a motivated and proactive Talent Acquisition Apprenticeto join our People & Culture team. You will support both our Talent Acquisition (TA)teamand People Operations on the operational side of hiring, with a primary focus on managing our annual internship recruitment campaign and supporting the interns community in the company. This apprenticeship is ideal for someone who is passionate about people, curious about deep-tech environments, and eager to learn how recruitment operates in a fast-growing, highly specialized company. The apprentice will start in September 2026. Duration: 1 year (with a possible work-study arrangement, combining ideally four days per week in the company and the remaining days at school.)