At a Glance
- Tasks: Develop quantum algorithms for hardware compatibility and automate processes with Python.
- Company: Join a top startup revolutionising quantum computing, backed by leading investors and renowned researchers.
- Benefits: Enjoy competitive salary, share options, flexible working, and private medical insurance.
- Other info: No prior knowledge of our hardware needed; learn on the job while collaborating with experts.
- Why this job: Be part of a small, innovative team shaping the future of technology with significant growth opportunities.
- Qualifications: PhD in physics, maths, or computer science; experience in quantum computing and strong communication skills required.
The predicted salary is between 48000 - 84000 £ per year.
About The Role and Team This role focuses upon tailoring high-level quantum algorithms to run on our hardware. Successful candidates will be familiar with the established toolset of quantum algorithms and understand the compilation tools required to map circuits to a target gate set. With consideration of various quantum error correction schemes and the specifics of Quantum Motion hardware, you will research and develop processes to run circuits on target architectures while monitoring the resources consumed. Candidates should have experience working with the surface code and the use of factories to produce resource states. This role does not require prior understanding of Quantum Motion\'s silicon-spin hardware platform, with knowledge expected to develop on the job while working with other researchers in the team.This role will provide a critical interface between applications and hardware development at Quantum Motion, allowing us to identify algorithms that are compatible with future iterations of our hardware. In addition to an established research background, we are looking for candidates with strong communication skills who can discuss with both applications and error correction / architecture researchers to understand capabilities. This role will involve working with in-house software engineers to automate the algorithms compilation process, primarily through the Python-based ecosystem of quantum software libraries.This is therefore a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing. Being a small team and having a flat structure, this is a great opportunity to contribute to new developments within the field. There are multiple opportunities for professional growth and to make impacts within the company.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 London and Oxford, with international offices in Australia (Sydney) and Spain (SanSebastián).Functions of the RoleDevelop processes to map high-level quantum algorithms to a hardware-compatible instruction set to realise fault-tolerant computation.Understand the tradeoffs between various quantum error correction tools and identify the best choice.Be familiar with architecture-level requirements and capabilities and factor them into the algorithm-to-hardware breakdown.Carefully account for the resources required to run a target algorithm, including the number of qubits and the runtime.Work with other researchers at the company to identify new directions and communicate constraints of existing approaches.Work with software engineers at the company to automate parts of the process.Present research results at internal and external meetings and eventsExperience - EssentialsTop tier education and PhD in physics, maths, computer science, or a related discipline.Track record of research into quantum computing, including work on applications and algorithms, architectures, or quantum error correction.Knowledge of commonly-used algorithmic techniques, such as quantum phase estimation, block encodings, amplitude amplification, etc.Familiarity with common error correction techniques, including surface codes and magic state distillation.Experience with writing up results in reports or scientific journals.Ability to clearly present scientific work to both technical and non-technical audiences, and an enthusiasm to travel for conferences and other events.Familiarity with using Python for research and development.Strong collaborative mindset with good communication and interpersonal skills.An inquisitive nature and logical approach to problem solving. A passion for tackling big challenges and, in particular, for developing quantum computers.Experience - DesirablePrior work or expertise relating to emerging \"good quantum LDPC\" codes, their decoders, etc.An understanding of silicon‐spin hardware systems is a bonus. Strong candidates without this experience are encouraged to apply, with knowledge expected to develop as part of the job.Examples of previous work compiling quantum algorithms to a target architecture, including an accounting of the resources required.Prior experience working in the quantum computing industry or in a startup environment.Proficiency with quantum software tools such as qualtran, Qiskit, QuEST, or PennyLane.Use of quantum intermediate representations such as QASM or QIR.Experience of optimising and running software scripts on HPC resources, including the use of GPUs.BenefitsBe part of a creative, world‐leading teamCompetitive salary and share options schemeContributory pension schemePrivate Medical InsuranceLife AssuranceCycle‐to‐work SchemeFlexible workingCentral London locationEEO 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.#J-18808-Ljbffr
Architectures and Algorithms Scientist in London employer: Quantum Motion
Quantum Motion is an exceptional employer, offering a unique opportunity to be part of a pioneering team at the forefront of quantum computing. With a collaborative and interdisciplinary work culture, employees benefit from competitive salaries, share options, and flexible working arrangements in a vibrant Central London location. The company prioritises professional growth, allowing team members to contribute significantly to groundbreaking developments while working alongside renowned researchers and top-tier investors.
Contact Details:
Quantum Motion Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Architectures and Algorithms Scientist in London
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Architectures and Algorithms Scientist role you’re after at Quantum Motion.
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We think you need these skills to ace Architectures and Algorithms Scientist in London
Quantum Algorithm Design
Quantum Error Correction Techniques
Surface Code Familiarity
Python Programming
Research and Development in Quantum Computing
Algorithm Compilation Tools
Resource Accounting for Quantum Circuits
Communication Skills
Interdisciplinary Collaboration
Presentation Skills
Problem-Solving Skills
Knowledge of Quantum Software Libraries
Understanding of Quantum Architectures
Experience with Quantum Intermediate Representations
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like Architectures and Algorithms Scientist, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Quantum Motion a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Quantum Motion specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at Quantum Motion
✨Brush Up on Core Engineering Principles
Before heading into the interview with Quantum Motion, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like Quantum Motion want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
