Careers

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team across the full stack quantum computer

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

We are seeking a highly skilled Senior Machine Learning Specialist who can build the right model for the right job. This role requires a strong background in understanding use-case requirements, developing tailored machine learning models, and delivering outcome-driven solutions.

Position Summary

The Senior Machine Learning Specialist works with world-leading atomic electronics and quantum computing teams at SQC based at UNSW Sydney.

This role designs and develops machine learning models to support classification and inference tasks that use a quantum computer in real client use-cases. The Specialist will work with ML experts both internally and client organisations to develop and implement the best models for decisioning across finance, networking, and more.

The Specialist works alongside quantum physicists, hardware engineers, and software engineers to translate business requirements into technical solutions that will harness SQC’s globally unique quantum computer processors, thus adding value to end-users’ existing ML workflows.

This position reports to the Head of Software Engineering and works alongside other staff and students funded and employed by SQC. While this role does not have any direct reports, it is expected that they will assist where necessary with the supervision of other team members.

About SQC

+ Silicon Quantum Computing (SQC) is one of the most prominent companies in the quantum computing industry globally. Our aim is to build the world’s first, full-scale quantum computer to help solve complex challenges beyond the abilities of classical computers.

+ SQC is a well-funded Australian company formed by the Commonwealth Government, the New South Wales State Government, Commonwealth Bank of Australia, Telstra, and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on 20+ years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This position is based in Sydney, at our SQC offices in Kensington, with occasional travel required.

+ We foster a collaborative and inclusive environment where innovation and continuous learning are encouraged. Join us in leveraging cutting-edge quantum machine learning techniques to drive transformative changes across diverse industries.

+ SQC is dedicated to building a diverse workforce and an inclusive work environment. We welcome applications from all qualified individuals, regardless of background.

Opportunities and Accountabilities 

+ Drive the development and implementation of machine learning models from inception to deployment, focusing on solving complex problems.

+ Collaborate closely with internal and end user ML experts across various domains, helping to integrate our ML models with theirs and/or advising them on how to improve their approach.

+ Define clear problem statements and translate business requirements into technical solutions.

+ Utilise advanced machine learning techniques and algorithms to extract insights and drive decision-making processes.

+ Work closely with quantum physicists and researchers to identify, quantify and execute unique ML solutions using our quantum systems.

+ Evaluate and recommend tools, technologies, and frameworks that enhance the efficiency and effectiveness of machine learning projects.

+ Stay updated with the latest advancements in machine learning and related fields, applying new methodologies to improve model performance and scalability.

About the successful applicant

To be successful in this role you will have:

+ Deep expertise with the various capabilities available when tailoring a model, e.g.:

+ Learning paradigms (supervised, unsupervised, reinforcement)

+ Problem types (classification, regression, generative)

+ Architectures (linear models, trees, neural networks, ensembles)

+ Purposes (predictive, descriptive, prescriptive)

+ Hyperparameters (learning rate, epoch counts, depth)

+ Other optimization techniques (feature engineering, regularization, tuning)

+ Performance evaluation (recall, RMSE, learning curves, benchmarking)

+ Bachelor’s degree, Master’s degree, or PhD in Computer Science, Engineering, Statistics, or a related quantitative field.

+ Proven track record of successfully developing and deploying machine learning models in real-world applications, with demonstrable impact on business outcomes.

+ Expertise in problem statement definition, experimental design, model selection, and evaluation metrics.

+ Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and proficiency in programming languages such as Python, Scala and/or R.

+ Five or more years’ experience in a senior machine learning role.

+ Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud).

+ Familiarity with data engineering practices and data pipeline development.

If this role is for you, send your CV to careers@sqc.com.au

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team across the full stack quantum computer

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

An exciting opportunity exists for a Quantum Computer Verification and Validation Scientist to undertake a unique academic-industry position in a start-up company, Silicon Quantum Computing Pty Ltd (SQC) based at UNSW Sydney. This position will be in one of Australia’s leading research teams conducting world-leading research in atomic electronics and quantum computing with the specific aim of building a quantum computer based on atom-qubits in silicon. Silicon Quantum Computing is an Australian research and development company, working hard to make quantum computers a reality.

Position Summary

This role will consider the application of noise characterisation and mitigation strategies on near term silicon quantum computers, including the characterisation of non-Markovian and crosstalk effects, modelling noise in near terms devices and developing protocols to mitigate noise effects on quantum devices. The QC Verification and Validation Scientist will work closely with hardware and software teams to develop and test their implementation on silicon-based quantum computing devices. The research includes both a fundamental role researching new mitigation and characterisation strategies and a practical aspect, modelling noise in real world devices and improving experiments by mitigating noise in quantum computing devices used for solving fundamental and real-world problems.

The QC Verification and Validation Scientist reports to Associate Professor Charles Hill and will work alongside Dr Casey Myers, and other staff and students funded by SQC. It is expected that the successful applicant will work collaboratively with both theory and experimental teams.

About SQC

+ SQC is an Australian research and development company, with the specific aim of building a quantum computer based on atom qubits in silicon.

+ SQC is a well-funded Australian company formed by the Commonwealth Government, the New South Wales State Government, Commonwealth Bank of Australia, Telstra, and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on more than 20 years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This role and SQC are located at the headquarters of the Centre at UNSW Sydney.

Opportunities and Accountabilities 

Level A: 

+ Characterisation of noise in quantum devices using quantum characterisation, verification & validation (QCVV) techniques, including non-Markovian and cross-talk noise using the Quantum Process Tensor.

+ Model the effects of noise, including complex noise, on silicon quantum computing devices.

+ Development of noise mitigation methods on near term silicon quantum computers.

+ Facilitate the demonstration of such noise mitigation techniques on near-term, small-scale atom-based silicon hardware.

+ Work with hardware and software teams to develop robust toolsets for noise characterisation and mitigation.

+ Contribute independently, or as a team member in collaborative research, to the field of quantum information, including by generating high quality research publication output.

+ Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers and PhD students to identify early-stage opportunities for noise characterisation and noise mitigation implementation on silicon-based quantum computer devices.

+ Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

 Level B:
(in addition to the above)

+ Characterisation of noise in quantum devices using quantum characterisation, verification & validation (QCVV) techniques, including non-Markovian and cross-talk noise using the Quantum Process Tensor.

+ Assume a significant role in research projects including, where appropriate, leadership of a research team.

+ Make a significant contribution to the field of quantum information, including with publications in internationally recognised journals and presentations.

+ Supervise a program of study of postgraduate students.

About the successful applicant

To be successful in this role you will have:

Level A:             

+ A PhD in Physics, Computer Science, Mathematics, or a related area.

+ Demonstrated outstanding research capabilities developing noise characterisation and/or noise mitigation techniques on quantum computing architectures.

+ Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.

+ Experience writing high-performance algorithm implementations, preferably in Python, MATLAB, C/C++, or equivalent. GPU programming experience (CUDA).

+ Theoretical background in at least one of: quantum information/simulation; near term quantum computing; noise characterisation and mitigation.

+ Experience designing and developing models, both analytical and numerical, for classical and quantum computing.

+ Knowledge of proper software development practices, e.g., documentation, testing, design patterns, version control (e.g., git), etc.

+ Experience with exploratory data analysis and database management.

+ Well-organised, attention to detail and ability to meet deadlines.

+ High level written and verbal communication skills and the ability to network effectively and interact with a diverse range of students and staff.

+ Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.

+ An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

+ Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. 

Level B:
(in addition to the above) 

+ Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.

+ An excellent research track record in the discipline area, both domestically and internationally, as evidenced by conference presentations and publications.

+ Significant experience in HDR student supervision.

If this role is for you, send your CV to careers@sqc.com.au

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team 

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

About SQC

Silicon Quantum Computing (SQC) is one of the most prominent companies in the quantum computing industry globally. Our aim is to build the world’s first, full-scale quantum computer to help solve complex challenges beyond the abilities of classical computers.

Position summary

We are seeking an in-house IP Associate who will be working within the IP team to manage and protect the company’s intellectual property. The work will range from interviewing technical teams to harvest new inventions, assessing commercial value of the inventions and their alignment with the company goals, preparing and submitting new patent applications, maintaining the patent portfolio, liaising with the external counsel and other stakeholders, and assisting with the company’s IP strategy.

Key responsibilities

+ Evaluate and manage the company’s patent portfolio.

+ Conduct patent searches, analyses, and due diligence.

+ Work closely with the technical team to harvest new IP.

+ Identify the best possible routes of IP protection that are in line with the company’s overall strategy.

+ Work internally or with the external counsel to draft and file patent applications and responses to office actions.

+ Protect and maintain the company’s confidential information and trade-secrets.

+ Monitor and maintain existing patents including renewals.

+ Provide legal advice and guidance on IP-related matters.

+ Assist in patent infringement and validity analysis.

+ Collaborate with cross-functional teams to identify and mitigate intellectual property risks.

+ Develop the company’s intellectual property strategy and ensure it’s in line with the company’s overall strategy.

+ Monitor and assess the competitive landscape and recommend strategic patent actions and any infringement activities.

+ Stay updated on changes in IP laws and regulations.

+ Review contracts, agreements, and licenses related to ensure the intellectual property clauses are in line with the company goals and strategy.

+ Enforce the company’s patent rights, including pursuing legal action when necessary.

+ Provide training and education to employees on intellectual property matters.

+ Promote awareness of intellectual property best practices.

+ Manage the budget for patent-related expenses, including external counsel fees.

Experiences

+ Strong knowledge of IP laws, regulations, and procedures.

+ Familiarity with international IP laws and practices.

+ Strong technological background and familiarity with both hardware and software needed. A degree in a science discipline, in particular, quantum physics preferable.

+ Experience in the in-house legal teams, start-ups or industry sector is preferable.

+ Excellent analytical, communication, and negotiation skills.

+ Strong attention to detail and organisational skills.

+ Registered to practice as a patent attorney in Australia (preferable, not essential).

About the successful applicant

+ Willing to prioritise “next most important piece of work” instead of working to a set remit based on role or title.

+ Able to tailor or even abandon “best practices” in service of solutions tailored to the specific context, stakeholders, and personality types.

Commitment to diversity

SQC is dedicated to building a diverse workforce and an inclusive work environment. We welcome applications from all qualified individuals, regardless of background.

If this role is for you, send your CV to careers@sqc.com.au

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team across the full stack quantum computer

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

An exciting opportunity exists for an Atomic Fabrication Scientist to undertake a unique academic-industry position in a start-up company, Silicon Quantum Computing Pty Ltd (SQC), co-located with the Australian Research Council Centre of Excellence for Quantum Computation and Communication (CQC²T or the Centre), based at UNSW Sydney. This position will be in one of Australia’s leading research teams conducting world-leading research in atomic electronics and quantum computing with the specific aim of building a quantum computer based on atom-qubits in silicon. Silicon Quantum Computing is an Australian research and development company, working hard to make quantum computers a reality.

Position Summary

The Atomic Fabrication Scientist optimises the fabrication of nanometre to atomic scale devices in silicon. This includes the ongoing development of unique semiconductor fabrication techniques and processes and the operation of an ultra-high vacuum scanning tunnelling microscopy / molecular beam epitaxy (STM/MBE) system for the production of atomic-scale devices for studies of coherent transport of quantum information in multi-qubit architectures.

The Atomic Fabrication Scientist works alongside atomic-scale device fabrication scientists, clean-room managers, and device processing engineers to fabricate atomic-scale silicon devices with controlled dopant profiles and support the overall fabrication of globally unique quantum computer processors.

This position reports to the Senior Research Fellow, Dr Joris Keizer, and works alongside other staff and students funded by SQC as well as CQC2T. While this role does not have any direct reports, it is expected that they will assist where necessary with the supervision of other team members.

About SQC

+ SQC is an Australian research and development company, with the specific aim of building a quantum computer based on atom qubits in silicon.

+ SQC is a well-funded Australian company formed by the Commonwealth Government, the New South Wales State Government, Commonwealth Bank of Australia, Telstra, and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on more than 20 years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This role and SQC are located at the headquarters of the Centre at UNSW Sydney.

Opportunities and Accountabilities 

+ Responsible for the reproducible execution of a globally unique atomic-scale device fabrication process of excellent quality.

+ Drive the reproducible execution of device fabrication processes on a day-to-day basis.

+ Responsible for the ongoing development of the atomic-scale device fabrication process for improved device metrics and high yield.

+ Design, fabrication and measurement of atomic-scale silicon qubit devices.

+ Conduct the operation and maintenance of ScientaOmicron Nanotechnology variable and low-temperature scanning probe microscopes and MBE systems.

+ Design, fabricate and measure internationally unique atomic-scale, multi-qubit devices in silicon using scanning probe lithography and molecular beam epitaxy (MBE).

+ Undertake detailed analysis of individual process steps for optimisation and improvement and provide thorough reports.

+ Work closely with clean-room managers and device processing engineers to further the electrical interface and chip layout of multi qubit devices.

+ Provide technical assistance and training to the research staff and students working on the current process.

+ Liaise with the Senior Research Fellow and team to ensure efficient delivery of atomic-scale devices.

+ Start developing independent research experiments/projects for troubleshooting processing issues and improving the yield and efficiency of atomic-scale device fabrication process.

+ Implement safety systems including OH&S, hazardous substances, risk assessments and conformance with AS’s codes.

+ Assist with the training and guidance of atomic fabrication and cleanroom engineers and scientists.

+ Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant

+ A PhD in Physics, Materials Science, Engineering, and/or relevant field.

+ Demonstrated work experience in a research environment including hands-on experience of scanning tunnelling microscopy.

+ Proven commitment to proactively keeping up to date with discipline knowledge and developments.

+ Demonstrated ability to conduct independent research.

+ Demonstrated strong track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.

+ Demonstrated internationally recognised work in ultra-high vacuum scanning probe microscopy or molecular beam epitaxy.

+ Demonstrated experience in one of the following areas is required:

– STM of semiconductor surfaces, preferably silicon;

– high resolution STM-lithography;

– crystal growth by MBE;

– single atom manipulation;

– spin measurements by STM; or

– spectroscopy measurements by STM

+ Experience in fabrication and research of nanostructured and mesoscopic devices on semiconductor materials, such as silicon, III-V semiconductors.

+ Experience in troubleshooting and solving complex fabrication issues.

+ Experience of working in close knit teams to optimise complex semiconductor device processes.

+ Well-organised, attention to detail and ability to meet deadlines.

+ Demonstrated ability to work in a multidisciplinary team, collaborate across disciplines and build effective relationships.

+ An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

+ Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

If this role is for you, send your CV to careers@sqc.com.au

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team across the full stack quantum computer

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

The Quantum Chemistry Applications Scientist works with one of Australia’s leading research teams conducting world-leading research in atomic electronics and quantum computing teams funded by Silicon Quantum Computing Pty Limited (SQC) based at UNSW Sydney.

Position Summary

This role will support the identification of use cases and algorithm development for both analogue and digital quantum computers to solve difficult industry applications in the near-term. In this role, the Quantum Chemistry Applications Scientist will consider analogue quantum systems comprised of large arrays of phosphorus-doped silicon quantum dots as a computational resource. Additionally, this role will develop algorithms for digital quantum computers focusing on solving industry problems with a 100-qubit silicon-based quantum processor, as the broader SQC team works to scale quantum devices from 10-qubit to 100-qubit architectures within the next 5 years. This role will examine quantum chemistry use cases for both quantum computing paradigms from the defence, materials, and electronics industries. Where necessary this role will assist with the support of PhD and undergraduate students and other members of the Algorithms and Architectures team.

The Quantum Chemistry Application Scientist will report to Dr Casey Myers, the Algorithms and Applications team lead, and work closely with Associate Professor Charles Hill, the Quantum Architectures team lead, alongside other staff, and students funded by SQC.

About SQC

+ SQC is an Australian research and development company, with the specific aim of building a quantum computer based on atom qubits in silicon.

+ SQC is a well-funded Australian company formed by the Commonwealth Government, the New South Wales State Government, Commonwealth Bank of Australia, Telstra, and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on more than 20 years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This role and SQC are located at the headquarters of the Centre at UNSW Sydney.

Opportunities and Accountabilities 

Level A: 

+ Investigate quantum advantage with near-term quantum systems for chemistry applications.

+ Explore the implementation of analogue quantum systems on near-term arrays of phosphorus-doped silicon quantum dots.

+ Explore the implementation of digital quantum algorithms on near-term, atom-based silicon hardware.

+ Adapt, tailor, and develop analogue quantum systems and quantum algorithms for industry focussed applications.

+ Work on the theory of analogue quantum systems to better understand the near- and medium-term direction of analogue quantum computing to determine when/how a quantum advantage can be achieved.

+ Work on the theory of quantum algorithms to better understand the medium- to long-term direction of quantum computing to determine when/how a quantum advantage can be achieved.

+ Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers, and PhD students for early-stage quantum system implementations on silicon-based quantum computer devices.

+ Generate high quality research publication output.

+ Provide technical assistance and training to the research staff and students working within SQC.

+ Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

Level B: (in addition to the above)

+ Make significant contribution to the field of quantum machine learning.

+ Where appropriate, take leadership of research projects.

+ Supervise honours or other higher degree research students

About the successful applicant

To be successful in this role you will have:

Level A:           

+ A PhD in Physics, Chemistry, Computer Science, Mathematics, or relevant field, with work experience in a research or commercial environment.

+ Demonstrated research capabilities in quantum chemistry, condensed matter physics, computational physics, spin physics or quantum algorithms related field.

+ Experience writing high-performance algorithm implementation, preferably in Python, MATLAB, C/C++, or equivalent. GPU programming experience.

+ Experience with Python quantum computing packages such as OpenQASM (Qiskit), Cirq, Project Q, or equivalent.

+ Experience in troubleshooting and solving complex unplanned issues.

+ Well-organised, attention to detail and ability to meet deadlines.

+ High level written and verbal communication skills and the ability to network effectively and interact with a diverse range of students and staff.

+ Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.

+ An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

+ Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Level B: (in addition to the above)

+ Demonstrated ability to conduct independent research with a track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.

+ Demonstrated outstanding research capabilities in quantum chemistry, condensed matter physics, computational physics, spin physics, quantum algorithms or related field are essential.

+ Experience devising solutions to industry use-cases with quantum systems.

+ Experience solving chemistry/materials problems on quantum systems.

+ Experience modelling qubit systems.

+ Significant experience with Python quantum computing packages, such as OpenQASM (Qiskit), Cirq, ProjectQ, or equivalent.

+ Experience with co-supervision of higher degree research students in quantum computing.

If this role is for you, send your CV to careers@sqc.com.au

+ Join a world-class team at the cutting edge of technology, focussed on making quantum computers a reality

+ Collaborate with a diverse, multicultural team across the full stack quantum computer

+ Enjoy the sunny shores and stunning scenery of Sydney, Australia

The Quantum Machine Learning Scientist works within a truly multi-disciplinary team of scientists and engineers at the forefront of atomic electronics and quantum computing internationally, funded by Silicon Quantum Computing Pty Limited (SQC) and based at UNSW Sydney.

Position Summary

This role will work closely with hardware, software and processing engineers to realise quantum processors in silicon ensuring high-fidelity control and measurement of multi-qubit devices at cryogenic temperatures. The Quantum Machine Learning Scientist will develop different machine learning protocols, including reservoir computing, extreme learning machines and kernel methods, for near-term implementations of both analogue and digital quantum computers. They will use SQC’s analogue quantum devices, comprised of large arrays of phosphorus-doped silicon quantum dots, as a computational resource to solve certain well-defined computational tasks to demonstrate potential advantage over classical computational methods. Additionally, this role will develop machine learning models for digital quantum computers focusing on protocols that can be implemented with a 100-qubit silicon-based quantum processor, as the broader SQC team works to scale quantum devices from 10-qubit to 100-qubit architectures within the next 5 years. Where necessary, this role will assist with the support and supervision of PhD and undergraduate students and other members of the Algorithms and Architectures team members.

The Quantum Machine Learning Scientist will report to Dr Casey Myers, the Algorithms and Applications team lead, and also work closely with Associate Professor Charles Hill, the Quantum Architectures team lead, alongside other staff and students funded by SQC.

About SQC

+ SQC is an Australian research and development company, with the specific aim of building a quantum computer based on atom qubits in silicon.

+ SQC is a well-funded Australian company formed by the Commonwealth Government, the New South Wales State Government, Commonwealth Bank of Australia, Telstra, and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on more than 20 years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This role and SQC are located at the headquarters of the Centre at UNSW Sydney.

Opportunities and Accountabilities 

Level A: 

+ Develop quantum machine learning models with near-term quantum systems.

+ Design and implement machine learning protocols with analogue quantum systems using near-term arrays of phosphorus-doped silicon quantum dots.

+ Design and implement machine learning protocols with digital quantum algorithms on near-term, atom-based silicon hardware.

+ Adapt, tailor, and develop quantum machine learning protocols for industry focussed applications.

+ Work on the theory of quantum machine learning to determine when/how a quantum advantage can be achieved for both analogue and digital quantum computing.

+ Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers, and PhD students for early-stage quantum system implementations on silicon-based quantum computer devices.

+ Generate high quality research publication output.

+ Provide technical assistance and training to the research staff and students working within SQC.

+ Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

Level B: (in addition to the above)

+ Make significant contribution to the field of quantum machine learning.

+ Where appropriate, take leadership of research projects.

+ Supervise honours or other higher degree research students

About the successful applicant

To be successful in this role you will have:

Level A:            

+ A PhD in Physics, Computer Science, Mathematics, or relevant field, with work experience in a research or commercial environment.

+ Demonstrated experience in classical machine learning techniques, with expertise in reservoir computing, extreme learning machines or kernel methods.

+ Demonstrated research capabilities in quantum machine learning or a related field.

+ Experience writing high-performance quantum algorithm implementation, preferably in Python, MATLAB, C/C++, or equivalent. GPU programming and/or high-performance computing experience.

+ Experience with Python quantum computing packages such as OpenQASM (Qiskit), Cirq, Project Q, or equivalent.

+ Experience in troubleshooting and solving complex unplanned issues.

+ Well-organised, attention to detail and ability to meet deadlines.

+ High level written and verbal communication skills and the ability to network effectively and interact with a diverse range of students and staff.

+ Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.

+ An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

+ Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Level B: (in addition to the above)

+ Demonstrated ability to conduct independent research in machine learning or quantum algorithms with a track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.

+ Demonstrated significant experience in classical machine learning techniques, with expertise in reservoir computing, extreme learning machines or kernel methods.

+ Demonstrated outstanding research capabilities in quantum machine learning or a related field.

+ Experience solving problems with machine learning on quantum systems.

+ Experience modelling qubit systems.

+ Significant experience with Python quantum computing packages, such as OpenQASM (Qiskit), Cirq, ProjectQ, or equivalent.

+ Experience with co-supervision of higher degree research students in quantum computing.

If this role is for you, send your CV to careers@sqc.com.au

Position Summary

An exciting opportunity exists for a quantum engineer to undertake a unique academic-industry position in a start-up company, Silicon Quantum Computing Pty Ltd (SQC), co-located with the Australian Research Council Centre of Excellence for Quantum Computation and Communication (CQC²T or the Centre), based at UNSW Sydney. This position will be in one of Australia’s leading research teams conducting world-leading research in atomic electronics and quantum computing with the specific aim of building a quantum computer based on atom-qubits in silicon. Silicon Quantum Computing is an Australian Research and Development company, working hard to make quantum computers a reality.

Ultimately this role will work closely with hardware, software and processing engineers to realise quantum processors in silicon ensuring high-fidelity control and measurement of multi-qubit devices at cryogenic temperatures. This is a highly sought after position within a dynamic and highly collaborative research and development environment. The successful applicant will join the world-leading team led by Professor Michelle Simmons, who has an international reputation for developing a radical new technology for developing atom qubits in silicon. This group is poised to scale to 100-qubit architectures within the next 5 years.

Background

+ SQC is a well-funded Australian company formed by the Commonwealth Government, Commonwealth Bank of Australia, Telstra, the New South Wales Government and UNSW Sydney.

+ SQC is seeking to commercialise silicon quantum computing technology developed in Australia – technology that has the potential to have a global impact.

+ SQC’s work is building on more than 20 years of world-leading research by the Centre of Excellence which includes the development of dedicated manufacturing and measurement techniques for an atom-based quantum computer in silicon.

+ This role and SQC are located the headquarters of the Centre at UNSW Sydney.

The Quantum Engineer will support the development of a large-scale digital quantum computer as the team works to scale to a 100-qubit architecture. In this role, the Quantum Engineer enhances the cryogenic measurement capabilities of the phosphorus-doped silicon qubits, develops novel initialisation, control and measurement schemes, and optimises device performance to scale the qubit architecture to a logical qubit.

The successful applicant will report to Professor Michelle Simmons and will work closely with the Quantum Systems Engineering lead, alongside other staff and students funded by SQC. This role will assist where necessary with the supervision of other team members. This position provides a unique opportunity to work within a truly multi-disciplinary team of scientists and engineers working at the forefront of global quantum computing internationally.

Accountabilities

Level 7: Specific accountabilities for this role include:

+ Develop, perform, and analyse low noise cryogenic measurements of quantum processors in silicon.

+ Operate and maintain specialised electronic equipment (oscilloscopes, signal generators, vector signal generators, DACs and ADCs).

+ Assist in the development of hardware and software for processor measurements (alongside hardware and software teams).

+ Assist in the development and implementation of novel quantum control protocols.

+ Assist in the maintenance and operation of a cryogenic dilution refrigerator.

+ Assist with the maintenance of laboratory computers, hardware, and software infrastructure.

+ Where appropriate, take leadership of research projects.

+ Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers, and PhD students to establish optimal setups for performing high-fidelity measurements.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

+ Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

+ Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

Skills and Experience

Level 7:

+ An undergraduate or Master’s degree in physics, electrical engineering or equivalent in either a commercial or academic environment.

+ Demonstrated experience with using common RF and microwave test equipment (e.g., signal generators, spectrum analysers, network analysers, oscilloscopes).

+ Demonstrated ability to undertake and complete research projects.

+ Demonstrated experience with Python (or similar programming language).

+ Excellent IT skills, including experience with word processing such as MS-WORD, LaTex or equivalent.

+ Excellent verbal and written communication skills and the ability to liaise effectively with all stakeholders.

+ Well-organised, attention to detail and ability to meet deadlines.

+ Demonstrated ability to think logically, create solutions and make informed decisions.

+ Ability and willingness to work in a team where credit is shared.

+ Ability to implement equal opportunity and diversity policies and programs.

+ An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

+ Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

If this role is for you, send your CV to careers@sqc.com.au

Position Summary

We have ongoing job openings for graduates / researchers / engineers to work with world-leading atomic electronics and quantum computing teams at Silicon Quantum Computing Pty Limited (SQC) based at UNSW Sydney.

The Quantum Processor Characterisation Researcher undertakes electrical measurements of multi-qubit quantum processors and supports the development of a 100-qubit quantum processor as the team works to scale from 10-qubit to 100-qubit architectures within the decade.

Within this role you will write and execute code to perform electrical measurements, write scripts for data analysis, optimise experimental setups for high-frequency multi-qubit experiments such as the detection and control of individual spins in silicon, the controlled coupling between them, and the coherent transport of quantum information.

This position reports to Professor Michelle Simmons and will work closely with Dr Ludwik Kranz, the Cryogenic Operation & Scale-up Team Lead, and work alongside other staff and students funded by SQC as well as the Australian Centre of Excellence for Quantum Computation and Communication Technology (CQC²T).

We are interested to hear from applicants with a broad range of career stages and backgrounds including academics, professionals, electrical engineers, software engineers, as well as undergraduate and postgraduate students nearing the completion of their degrees. The role and remuneration will be tailored to your expertise.

About SQC

SQC is an Australian private company, located at UNSW Sydney, at the forefront of global efforts to build a commercial-scale quantum computer and bring quantum computing to market. It was formed in May 2017 by the Commonwealth of Australia, UNSW Sydney, Telstra Corporation, the Commonwealth Bank of Australia and the State of New South Wales. It was funded with A$83 million to acquire a portfolio of world-leading silicon quantum computing intellectual property (IP) developed over the previous twenty years at the Centre of Excellence for Quantum Computation and Communications Technology (CQC2T) and to commence a technical development program to build a silicon quantum computer.

Since May 2017, SQC has assembled a world-class team of quantum scientists, engineers and technicians, specialist equipment and globally unique laboratories at UNSW to further its program. In addition to its core processor technology, SQC is developing a ‘full stack’ quantum computer to ensure it can deliver a useful and manufacturable quantum device.

Opportunities and Accountabilities

+ Develop and perform low noise, high frequency measurements of devices in silicon

+ Run and execute scripts for electrical measurements.

+ Run and execute scripts for data analysis.

+ Operate and maintain specialised electronic equipment (oscilloscopes, signal generators, vector signal generators, DACs and ADCs).

+ Support operation of a cryogenic dilution refrigerator.

+ Assist with the maintenance of laboratory computer hardware and software infrastructure.

+ Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers and PhD students to establish optimal measurement setups.

+ Where appropriate, take leadership of research projects.

About the applicant

+ A degree in physics, electrical engineering, software engineering (or equivalent in either a commercial or academic environment).

+ Demonstrated experience with coding (Python or similar programming language).

+ Excellent verbal and written communication skills and the ability to liaise effectively with all stakeholders.

+ Well-organised, attention to detail and ability to meet deadlines.

+ Demonstrated ability to think logically, create solutions and make informed decisions.

+ Ability and willingness to work in a team where credit is shared.

+ Ability to implement equal opportunity and diversity policies and programs.

+ Preferred: experience with low noise cryogenic measurement of solid state qubits.

+ Preferred: experience with setting up or running a cryogenic dilution refrigerator.

+ Preferred: experience of high frequency (GHz) measurement techniques and microwave engineering.

+ Preferred: experience with using common RF and microwave test equipment (e.g., signal generators, spectrum analysers, network analysers, oscilloscopes).

+ Preferred: Demonstrated internationally significant research in quantum effects in nanostructure devices, mesoscopic physics and quantum transport.

If this role is for you, send your CV to careers@sqc.com.au