About The Role and Team Quantum Motion is a fast-growing quantum computing scale-up based in London. 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. We have recently moved into a new office in Islington with state of the art cryogenic facilities and have an outstanding interdisciplinary team spanning quantum physics to IC design. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based in Oxford and London, with a centre of mass in our Islington lab. Functions of the Role As an EDA support engineer you will be supporting design teams primarily working with the Cadence design flow. It's an analogue flow using commercial PDK's but with internally developed add-ons to customise processes. You'll work alongside the current support engineer, as the teams grow and expand their remit. The role will suit someone who likes working in small companies / startups and is keen to expand their experience. This is a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing. There are vast opportunities for professional growth and to make an impact within the company. Developing and maintaining EDA environments using Cadence tools and flow. Supporting the design teams and providing technical expertise on tools/flows. Developing custom scripts to automate design processes and improve workflow. Integrating and managing various tools in the Cadence suite, ensuring compatibility and functionality. Support and troubleshooting of EDA/system issues. Experience - Essentials Several years of experience supporting EDA design tools, Cadence Virtuoso and Siemens Calibre with commercial PDK's. Scripting ability in most of these - Python, skill, Bash, Perl. Data management within Virtuoso - either commercial tools or Git. Application management - installation, licensing, debugging and setup. Experience - Desirable Layout or RTL-to-GDS experience Linux sysadmin experience AWS exposure EM tools exposure Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Group private medical insurance scheme Life Assurance Cycle-to-work Scheme Central London location EEO Statement 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 or any other protected characteristics covered by the Equality Act 2010.
Jan 01, 2026
Full time
About The Role and Team Quantum Motion is a fast-growing quantum computing scale-up based in London. 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. We have recently moved into a new office in Islington with state of the art cryogenic facilities and have an outstanding interdisciplinary team spanning quantum physics to IC design. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based in Oxford and London, with a centre of mass in our Islington lab. Functions of the Role As an EDA support engineer you will be supporting design teams primarily working with the Cadence design flow. It's an analogue flow using commercial PDK's but with internally developed add-ons to customise processes. You'll work alongside the current support engineer, as the teams grow and expand their remit. The role will suit someone who likes working in small companies / startups and is keen to expand their experience. This is a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing. There are vast opportunities for professional growth and to make an impact within the company. Developing and maintaining EDA environments using Cadence tools and flow. Supporting the design teams and providing technical expertise on tools/flows. Developing custom scripts to automate design processes and improve workflow. Integrating and managing various tools in the Cadence suite, ensuring compatibility and functionality. Support and troubleshooting of EDA/system issues. Experience - Essentials Several years of experience supporting EDA design tools, Cadence Virtuoso and Siemens Calibre with commercial PDK's. Scripting ability in most of these - Python, skill, Bash, Perl. Data management within Virtuoso - either commercial tools or Git. Application management - installation, licensing, debugging and setup. Experience - Desirable Layout or RTL-to-GDS experience Linux sysadmin experience AWS exposure EM tools exposure Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Group private medical insurance scheme Life Assurance Cycle-to-work Scheme Central London location EEO Statement 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 or any other protected characteristics covered by the Equality Act 2010.
About The Role and Team Quantum Motion is a fast-growing quantum computing scale-up based in London founded by internationally renowned researchers from UCL 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. 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team The Intelligent Automation Team develops the software that controls, and optimises our Quantum Processing Units. Working in close partnership with the Quantum Hardware Team, this group works to enable our processors to perform at their limits. Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams form the engine room of Quantum Motion's technology, bridging physics, engineering, and computation to unlock the next generation of quantum capability. As a member of our evolving scale-up, you'll help shape the next stage of quantum computing. We're still a small team, which means your expertise will directly influence our technology, our culture, and our trajectory, while giving you room to grow as we scale. Functions of the Role Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots Develop automated calibration routines for long-term maintenance of QPU performance Devise measurement and analysis roadmaps to test and optimise quantum operations Experience - Essentials PhD degree in physics, chemistry, or engineering Proven record of writing high-quality code for control of quantum systems Experience with use of optimisation techniques such as Bayesian Optimisation, Genetic algorithms etc in an experimental setting An understanding of approaches to benchmarking of quantum devices Proven record of experience in characterisation and control of quantum systems Ability to independently design and carry out complex experiments; perform data analysis and prepare technical reports and presentations Ability to work in a team Excellent verbal and written communication skills Experience - Desirable Strong experience with machine learning techniques and their application to complex physical systems. Demonstrated capability in benchmarking quantum systems using methods such as randomised benchmarking and gate-set tomography. Proven team leadership and people-management skills, including supervising technical staff and guiding cross-functional research efforts. Experience mentoring junior researchers and effectively supervising research students to support their academic and professional development. Skilled in the simulation of spin-based quantum systems and the dynamical characterisation of silicon-based nanoelectronic devices. Hands-on experience operating and troubleshooting deep cryogenic measurement systems. Experience with the dynamical characterisation silicon-based nanoelectronic devices Ability to supervise research students Application Process 30-Minute Talent Team Call - an introductory conversation with the talent team to discuss background, motivation, and role fit. 30-Minute Technical Screening with the Hiring Manager - a focused discussion assessing technical skills, relevant experience, and approach to problem-solving. Onsite Visit Lab Tour - opportunity to see the facilities, meet the team, and gain insight into ongoing projects. Presentation & Q&A (60 minutes) - candidate delivers a technical presentation followed by an interactive question session. One-to-One Meetings with Key Stakeholders (30 minutes each) - individual discussions with core team members and collaborators. Final Meeting with CEO/Founders (30 minutes) - a high-level conversation to assess alignment with company vision, culture, and long-term goals. Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Life Assurance Cycle-to-work Scheme Flexible working Central London location EEO Statement 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.
Jan 01, 2026
Full time
About The Role and Team Quantum Motion is a fast-growing quantum computing scale-up based in London founded by internationally renowned researchers from UCL 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. 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team The Intelligent Automation Team develops the software that controls, and optimises our Quantum Processing Units. Working in close partnership with the Quantum Hardware Team, this group works to enable our processors to perform at their limits. Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams form the engine room of Quantum Motion's technology, bridging physics, engineering, and computation to unlock the next generation of quantum capability. As a member of our evolving scale-up, you'll help shape the next stage of quantum computing. We're still a small team, which means your expertise will directly influence our technology, our culture, and our trajectory, while giving you room to grow as we scale. Functions of the Role Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots Develop automated calibration routines for long-term maintenance of QPU performance Devise measurement and analysis roadmaps to test and optimise quantum operations Experience - Essentials PhD degree in physics, chemistry, or engineering Proven record of writing high-quality code for control of quantum systems Experience with use of optimisation techniques such as Bayesian Optimisation, Genetic algorithms etc in an experimental setting An understanding of approaches to benchmarking of quantum devices Proven record of experience in characterisation and control of quantum systems Ability to independently design and carry out complex experiments; perform data analysis and prepare technical reports and presentations Ability to work in a team Excellent verbal and written communication skills Experience - Desirable Strong experience with machine learning techniques and their application to complex physical systems. Demonstrated capability in benchmarking quantum systems using methods such as randomised benchmarking and gate-set tomography. Proven team leadership and people-management skills, including supervising technical staff and guiding cross-functional research efforts. Experience mentoring junior researchers and effectively supervising research students to support their academic and professional development. Skilled in the simulation of spin-based quantum systems and the dynamical characterisation of silicon-based nanoelectronic devices. Hands-on experience operating and troubleshooting deep cryogenic measurement systems. Experience with the dynamical characterisation silicon-based nanoelectronic devices Ability to supervise research students Application Process 30-Minute Talent Team Call - an introductory conversation with the talent team to discuss background, motivation, and role fit. 30-Minute Technical Screening with the Hiring Manager - a focused discussion assessing technical skills, relevant experience, and approach to problem-solving. Onsite Visit Lab Tour - opportunity to see the facilities, meet the team, and gain insight into ongoing projects. Presentation & Q&A (60 minutes) - candidate delivers a technical presentation followed by an interactive question session. One-to-One Meetings with Key Stakeholders (30 minutes each) - individual discussions with core team members and collaborators. Final Meeting with CEO/Founders (30 minutes) - a high-level conversation to assess alignment with company vision, culture, and long-term goals. Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Life Assurance Cycle-to-work Scheme Flexible working Central London location EEO Statement 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.
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL 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.
Jan 01, 2026
Full time
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL 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.
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL 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.
Jan 01, 2026
Full time
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. 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 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL 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.