A cutting-edge quantum technology firm in the UK is seeking candidates for their PhD program focusing on developing silicon-based quantum computing technologies. Successful applicants will engage in research with top academics and gain hands-on experience in a dynamic environment. The role requires a strong academic background in physics or electrical engineering, alongside programming skills. Successful candidates can expect a start date in early 2026 and will work closely with world-leading experts.
03/02/2026
Full time
A cutting-edge quantum technology firm in the UK is seeking candidates for their PhD program focusing on developing silicon-based quantum computing technologies. Successful applicants will engage in research with top academics and gain hands-on experience in a dynamic environment. The role requires a strong academic background in physics or electrical engineering, alongside programming skills. Successful candidates can expect a start date in early 2026 and will work closely with world-leading experts.
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.
03/02/2026
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.
03/02/2026
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 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. Our Company 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 rare, deeply interdisciplinary environment where software directly accelerates breakthrough physics. Our team of 60+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team We are looking for a pragmatic, organized Technical Product Owner to join the Intelligent Automation team. This team builds the mission critical software layer that allows our hardware experts and IC engineers to acquire data more efficiently, analyze experiments, and control quantum processors. This role acts as the interface between the software engineering team and the internal end users of the products they develop. You will identify needs, work with the various stakeholders to specify solutions and translate these into clearly defined tickets for engineers to work through. You will take ownership of priorities and impact how quickly and effectively our quantum hardware advances as well as providing a clear line of communication for the product team. Please note that this is a hybrid role, typically requiring 60% on site attendance at our Islington lab to collaborate directly with the hardware teams. This hands on proximity to experimental work is key to the role. Functions of the Role Backlog Curation: Own the team's project board. You will ensure the backlog is balanced between short term needs and long term scalability, tickets are clearly defined, and the team always knows what to work on next. Requirements Gathering: Sit with internal end users (researchers and hardware engineers) to understand their experimental needs and translate them into actionable technical user stories. You will develop deep domain context and become a trusted partner to world class scientists. Triage & Protection: Act as the first line of defense for the software team. You will triage incoming bug reports and feature requests, protecting engineers' focus while ensuring critical lab workflows are never blocked. Process Facilitation: Run light touch Agile processes (planning, stand ups, retrospectives) focused on efficiency and unblocking developers rather than rigid adherence to rules. You'll help shape processes that actually work in a research led environment. Release Management: Coordinate with the team to ensure software updates are deployed smoothly to the lab environments without disrupting critical experiments. Reliability here directly affects experimental velocity and research outcomes. Experience - Essentials Top tier education, minimum 2.1 in a STEM discipline or relevant experience. 2+ years of experience as a Product Owner, Technical Project Manager, or Business Analyst within a software team. Strong project management skills: You know how to configure workflows to suit a specific team's style. Technical Fluency: You do not need to be a developer, but you must be comfortable discussing software concepts (APIs, Python libraries, Git workflows) and understanding the software development lifecycle. Stakeholder Management: Experience working with technical end users, including managing different priorities and styles. Excellent written communication skills for creating clear ticket descriptions and documentation. Experience - Desirable Experience working in a Hardware/Software environment (Robotics, IoT, Semiconductors, or Scientific Instrumentation). Ability to read/understand Python code and familiarity. Previous experience in a startup or scale up environment where roles are fluid and autonomy is high; background in science or physics. Benefits Be part of a creative, world leading team Competitive salary and share options scheme Contributory pension scheme Choose your own laptop/kit Life Assurance Cycle to work Scheme Flexible working. Central London location with hands on access to cutting edge lab facilities. 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.
02/02/2026
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. Our Company 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 rare, deeply interdisciplinary environment where software directly accelerates breakthrough physics. Our team of 60+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team We are looking for a pragmatic, organized Technical Product Owner to join the Intelligent Automation team. This team builds the mission critical software layer that allows our hardware experts and IC engineers to acquire data more efficiently, analyze experiments, and control quantum processors. This role acts as the interface between the software engineering team and the internal end users of the products they develop. You will identify needs, work with the various stakeholders to specify solutions and translate these into clearly defined tickets for engineers to work through. You will take ownership of priorities and impact how quickly and effectively our quantum hardware advances as well as providing a clear line of communication for the product team. Please note that this is a hybrid role, typically requiring 60% on site attendance at our Islington lab to collaborate directly with the hardware teams. This hands on proximity to experimental work is key to the role. Functions of the Role Backlog Curation: Own the team's project board. You will ensure the backlog is balanced between short term needs and long term scalability, tickets are clearly defined, and the team always knows what to work on next. Requirements Gathering: Sit with internal end users (researchers and hardware engineers) to understand their experimental needs and translate them into actionable technical user stories. You will develop deep domain context and become a trusted partner to world class scientists. Triage & Protection: Act as the first line of defense for the software team. You will triage incoming bug reports and feature requests, protecting engineers' focus while ensuring critical lab workflows are never blocked. Process Facilitation: Run light touch Agile processes (planning, stand ups, retrospectives) focused on efficiency and unblocking developers rather than rigid adherence to rules. You'll help shape processes that actually work in a research led environment. Release Management: Coordinate with the team to ensure software updates are deployed smoothly to the lab environments without disrupting critical experiments. Reliability here directly affects experimental velocity and research outcomes. Experience - Essentials Top tier education, minimum 2.1 in a STEM discipline or relevant experience. 2+ years of experience as a Product Owner, Technical Project Manager, or Business Analyst within a software team. Strong project management skills: You know how to configure workflows to suit a specific team's style. Technical Fluency: You do not need to be a developer, but you must be comfortable discussing software concepts (APIs, Python libraries, Git workflows) and understanding the software development lifecycle. Stakeholder Management: Experience working with technical end users, including managing different priorities and styles. Excellent written communication skills for creating clear ticket descriptions and documentation. Experience - Desirable Experience working in a Hardware/Software environment (Robotics, IoT, Semiconductors, or Scientific Instrumentation). Ability to read/understand Python code and familiarity. Previous experience in a startup or scale up environment where roles are fluid and autonomy is high; background in science or physics. Benefits Be part of a creative, world leading team Competitive salary and share options scheme Contributory pension scheme Choose your own laptop/kit Life Assurance Cycle to work Scheme Flexible working. Central London location with hands on access to cutting edge lab facilities. 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.
A leading quantum computing firm in Greater London is seeking a Technical Product Owner for its Intelligent Automation team. You will bridge the gap between software engineering and end-users, managing project priorities and facilitating agile processes. Ideal candidates will have a strong STEM education and experience in similar roles within a software team. This hybrid role requires 60% on-site presence in Islington, supporting critical hardware and software development. Competitive salary and benefits include flexible working arrangements.
02/02/2026
Full time
A leading quantum computing firm in Greater London is seeking a Technical Product Owner for its Intelligent Automation team. You will bridge the gap between software engineering and end-users, managing project priorities and facilitating agile processes. Ideal candidates will have a strong STEM education and experience in similar roles within a software team. This hybrid role requires 60% on-site presence in Islington, supporting critical hardware and software development. Competitive salary and benefits include flexible working arrangements.
About The Role and 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 inThe Telegraph,BBCand theNew 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 includingBosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations,INKEF CapitalandOctopus 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 rare, deeply interdisciplinary environment where software directly accelerates breakthrough physics. Our team of 80+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team AsSenior Product Manager, you will lead product management of Quantum Motion's full stack quantum computers. You will define the product roadmap for future system generations in close collaboration with Quantum Motion's executive leadership and engineering teams. You will work with marketing, business development and the system deployments team to deliver our products to end users. This is a hands-on leadership role, ideal for someone who understands the broad context of the technology as well as the emerging quantum computing market to inform a product vision and translate it into day-to-day product development. This Senior Product Manager position will be part of the Product team, which defines Quantum Motion's product strategy and roadmap in the evolving quantum computing industry and manages research programs and partnerships. Functions of the Role Define and drive execution of the product roadmap for Quantum Motion's full stack quantum computing systems. Bridge internal innovation and customer adoption by using customer insights, market trends, and data analytics to guide product direction, continuously iterate based on user feedback and KPIs. Communicate product vision effectively to external audiences, such as partners, customers, investors, or at conferences and industry events. Partner with executive leadership to align product initiatives with company goals. Work closely with the technical teams to align product goals with the R&D roadmap. Coordinate across Engineering, Programme Management, and Commercial to align roadmap priorities, dependencies, and delivery milestones, maintaining clear ownership and timely escalation of delivery risks. Define and own product metrics and features across quantum hardware, software stack and algorithms. Support the Deployments Team to deliver high-quality product experiences on time and within scope. Lead bid-to-delivery product piece for new R&D proposals and opportunities: shape product requirements and deliverables with technical leads, shape external partnerships, supporting the commercial case, and translate funded commitments into an executable delivery plan with measurable outcomes. Experience - Essentials 3+ years work experience in the quantum computing industry. Demonstrated experience making product prioritisation and trade-off decisions in environments with significant technical and market uncertainty. Clear understanding of the components and parameters of a full stack computer and common user requirements. Understanding of the broader quantum computing industry and user landscape. Proven track record of successfully developing and scaling products in the quantum computing industryor3+ years of product management experience. Business development orientation with experience supporting R&D proposals and/or tenders and successfully transitioning funded bids into delivery execution that drives user adoption and revenue outcomes. Strong leadership and communication skills; ability to influence horizontally across different functions. Comfortable working in a fast-paced, ambiguous, and high-growth environment. MSc or PhD in Physics, Electrical Engineering, Computer Science or a related field. Experience - Desirable Experience working across multiple layers of the quantum stack, e.g. hardware platforms, control systems, firmware, compilers, runtimes, or quantum applications. Prior exposure to system-level product ownership for complex scientific or deep-tech products (e.g. semiconductors, cryogenics, advanced electronics, photonics, or HPC). Familiarity with performance benchmarking, QEC parameters and how these translate into user-relevant product metrics. Experience engaging directly with early enterprise, government, or academic customers, including translating exploratory use cases into product requirements. Track record of contributing to or leading industry collaborations, consortia, or standards efforts in quantum or adjacent technologies. 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.
02/02/2026
Full time
About The Role and 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 inThe Telegraph,BBCand theNew 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 includingBosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations,INKEF CapitalandOctopus 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 rare, deeply interdisciplinary environment where software directly accelerates breakthrough physics. Our team of 80+ is based in Oxford and London, with a centre of mass in our Islington lab. Our Team AsSenior Product Manager, you will lead product management of Quantum Motion's full stack quantum computers. You will define the product roadmap for future system generations in close collaboration with Quantum Motion's executive leadership and engineering teams. You will work with marketing, business development and the system deployments team to deliver our products to end users. This is a hands-on leadership role, ideal for someone who understands the broad context of the technology as well as the emerging quantum computing market to inform a product vision and translate it into day-to-day product development. This Senior Product Manager position will be part of the Product team, which defines Quantum Motion's product strategy and roadmap in the evolving quantum computing industry and manages research programs and partnerships. Functions of the Role Define and drive execution of the product roadmap for Quantum Motion's full stack quantum computing systems. Bridge internal innovation and customer adoption by using customer insights, market trends, and data analytics to guide product direction, continuously iterate based on user feedback and KPIs. Communicate product vision effectively to external audiences, such as partners, customers, investors, or at conferences and industry events. Partner with executive leadership to align product initiatives with company goals. Work closely with the technical teams to align product goals with the R&D roadmap. Coordinate across Engineering, Programme Management, and Commercial to align roadmap priorities, dependencies, and delivery milestones, maintaining clear ownership and timely escalation of delivery risks. Define and own product metrics and features across quantum hardware, software stack and algorithms. Support the Deployments Team to deliver high-quality product experiences on time and within scope. Lead bid-to-delivery product piece for new R&D proposals and opportunities: shape product requirements and deliverables with technical leads, shape external partnerships, supporting the commercial case, and translate funded commitments into an executable delivery plan with measurable outcomes. Experience - Essentials 3+ years work experience in the quantum computing industry. Demonstrated experience making product prioritisation and trade-off decisions in environments with significant technical and market uncertainty. Clear understanding of the components and parameters of a full stack computer and common user requirements. Understanding of the broader quantum computing industry and user landscape. Proven track record of successfully developing and scaling products in the quantum computing industryor3+ years of product management experience. Business development orientation with experience supporting R&D proposals and/or tenders and successfully transitioning funded bids into delivery execution that drives user adoption and revenue outcomes. Strong leadership and communication skills; ability to influence horizontally across different functions. Comfortable working in a fast-paced, ambiguous, and high-growth environment. MSc or PhD in Physics, Electrical Engineering, Computer Science or a related field. Experience - Desirable Experience working across multiple layers of the quantum stack, e.g. hardware platforms, control systems, firmware, compilers, runtimes, or quantum applications. Prior exposure to system-level product ownership for complex scientific or deep-tech products (e.g. semiconductors, cryogenics, advanced electronics, photonics, or HPC). Familiarity with performance benchmarking, QEC parameters and how these translate into user-relevant product metrics. Experience engaging directly with early enterprise, government, or academic customers, including translating exploratory use cases into product requirements. Track record of contributing to or leading industry collaborations, consortia, or standards efforts in quantum or adjacent technologies. 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 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 As the Head of Systems Delivery, you will report into the Executive Director and own the day to day technical execution of system delivery, turning strategic direction into reliable, consistent system deployments by bridging quantum engineering with system engineering. You will lead cross functional teams to build, install, bring up, stabilise, and gain acceptance of full stack, silicon spin qubit based quantum systems, both in our labs as well as at international client sites. This is a hands on technical leadership role focused on first of a kind system build out, delivery under uncertainty, and converting deployments into consistent, stable, and scalable delivery models. You will not be responsible for developing the core quantum technology, but you will be accountable for delivering it successfully, even when it is new and evolving. If your background is in quantum engineering or experimental physics and you've been deeply involved in bringing systems out of the lab and into reliable operation, we encourage you to apply. Functions of the Role Lead the day to day execution of system delivery and deployment, from planning through commissioning. Own delivery timelines, dependencies, risks, and outcomes. Build and continuously improve playbooks, documentation, and quality standards for system installation, bring up, validation, stabilisation, and acceptance. Coordinate across engineering (e.g., quantum hardware, software, system integration, IC validation, theory, cloud) and product to ensure delivery meets requirements. Provide system level feedback across the stack to support design for deployment, producibility, and manufacturability. Own system procurement, from requirements and supplier selection through purchasing and delivery, ensuring alignment with technical and delivery requirements. Own readiness beyond go live, including support, training, change management, and adoption for internal and client teams. Lead the technical collaboration with customer facing teams. Provide technical input to proposals and tenders. Travel domestically and internationally to QM and client sites. Experience - Essentials Strong systems engineering, quantum engineering, or senior technical delivery background, grounded in hands on technical experience. Track record delivering complex, full stack systems (hardware, software, infrastructure, and operations), including first of a kind systems and their evolution into reproducible, stable deployments. Ability to lead cross functional technical teams through system installation, bring up, integration, deployment, operational readiness, and acceptance. Experience owning procurement and supplier relationships for technical delivery, including defining requirements, selecting suppliers, and purchasing hardware and services. Strong technical judgment to understand system interactions, integration risks, and operational constraints, without owning core technology development. Clear, effective communicator able to translate executive intent into actionable day to day technical delivery execution and represent delivery decisions confidently. Willingness and eligibility to travel internationally. Experience - Desirable Experience working with quantum systems, e.g., quantum computing and/or cryogenics. Experience delivering other deep tech or research driven systems, e.g., quantum adjacent platforms, advanced hardware/software systems, HPC, semiconductors. Experience working directly with customer engineering teams during system deployment, integration, or support. Experience contributing technical input to proposals or tenders. 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.
02/02/2026
Full time
About The Role and 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. Our Team As the Head of Systems Delivery, you will report into the Executive Director and own the day to day technical execution of system delivery, turning strategic direction into reliable, consistent system deployments by bridging quantum engineering with system engineering. You will lead cross functional teams to build, install, bring up, stabilise, and gain acceptance of full stack, silicon spin qubit based quantum systems, both in our labs as well as at international client sites. This is a hands on technical leadership role focused on first of a kind system build out, delivery under uncertainty, and converting deployments into consistent, stable, and scalable delivery models. You will not be responsible for developing the core quantum technology, but you will be accountable for delivering it successfully, even when it is new and evolving. If your background is in quantum engineering or experimental physics and you've been deeply involved in bringing systems out of the lab and into reliable operation, we encourage you to apply. Functions of the Role Lead the day to day execution of system delivery and deployment, from planning through commissioning. Own delivery timelines, dependencies, risks, and outcomes. Build and continuously improve playbooks, documentation, and quality standards for system installation, bring up, validation, stabilisation, and acceptance. Coordinate across engineering (e.g., quantum hardware, software, system integration, IC validation, theory, cloud) and product to ensure delivery meets requirements. Provide system level feedback across the stack to support design for deployment, producibility, and manufacturability. Own system procurement, from requirements and supplier selection through purchasing and delivery, ensuring alignment with technical and delivery requirements. Own readiness beyond go live, including support, training, change management, and adoption for internal and client teams. Lead the technical collaboration with customer facing teams. Provide technical input to proposals and tenders. Travel domestically and internationally to QM and client sites. Experience - Essentials Strong systems engineering, quantum engineering, or senior technical delivery background, grounded in hands on technical experience. Track record delivering complex, full stack systems (hardware, software, infrastructure, and operations), including first of a kind systems and their evolution into reproducible, stable deployments. Ability to lead cross functional technical teams through system installation, bring up, integration, deployment, operational readiness, and acceptance. Experience owning procurement and supplier relationships for technical delivery, including defining requirements, selecting suppliers, and purchasing hardware and services. Strong technical judgment to understand system interactions, integration risks, and operational constraints, without owning core technology development. Clear, effective communicator able to translate executive intent into actionable day to day technical delivery execution and represent delivery decisions confidently. Willingness and eligibility to travel internationally. Experience - Desirable Experience working with quantum systems, e.g., quantum computing and/or cryogenics. Experience delivering other deep tech or research driven systems, e.g., quantum adjacent platforms, advanced hardware/software systems, HPC, semiconductors. Experience working directly with customer engineering teams during system deployment, integration, or support. Experience contributing technical input to proposals or tenders. 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.