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Senior Research Scientist, Quantum Error Correction

Q-CTRL
Los Angeles, CA

Apply Now

Job Details

Full-time
$135,000 - $205,000 a year

Qualifications

AI models
Scikit-learn
Software engineering
Computational research
Rust (programming language)
Computer Science
PyTorch
Conference papers
FPGA
Engineering
NumPy
Mathematics
Scientific research papers
Doctoral degree in Computer Science
Collaboration with product development teams
C++
Machine intelligence
Julia
Doctor of Philosophy
Computer hardware
Engineering research
Doctoral degree in physics
Physics
Conducting conference presentations
Software development
Participating in conferences
Algorithm design research
Senior level
Machine learning frameworks
Leadership

Full Job Description

About the team

The Quantum Computing Research team is dedicated to developing innovative methods to get the best possible performance from contemporary and next generation quantum computers. We push toward quantum advantage by developing cutting-edge applications, employing AI, control theory, and physics principles to optimize and automate critical parts of the quantum computing stack. We conduct pioneering research looking toward the near future, including quantum error correction and the integration of quantum computers with high performance computing and data centers.

About the role

At Q-CTRL, we’re pioneering the future of quantum technology. Our research team is seeking a Senior Research Scientist to design and implement quantum algorithms and workflows that underpin our product offerings and external demonstrations. This role centers around quantum error correction (QEC) research. You’ll collaborate closely across research and engineering teams to produce high impact research and publication and to translate scientific advances into high-impact software solutions.

This is your opportunity to work at the forefront of quantum computing, driving real-world innovation in a rapidly evolving field.

In particular, you will:

Design and implement efficient and reliable methods to solve key challenges facing real quantum computers.
Stay up to date with advances in quantum computing and QEC research, applying this knowledge to develop cutting-edge methodologies.
Conducting innovative research on aspects of QEC, such as, but not limited to:
- designing and optimizing decoders
- developing compilation schemes and computation architectures for FTQC
- optimizing logical operation schemes
- using QEC primitives to boost near term applications
Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
Publishing high-impact papers and presenting at top conferences
Collaborate with engineering teams to translate your ideas into production-quality software.
Explain and present your work in clear and accessible language. Incorporate feedback and foster effective collaboration with colleagues.
Use open-source scientific computing packages like Stim, Qiskit, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods.

Ideally you'll have:

A PhD degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline.
Relevant industry or postdoctoral experience in quantum error correction. PhD graduates with proven track record in QEC research will be considered.
Expertise in top leading QEC codes such as the surface and qLDPC codes.
Expertise in one or more of the following: decoders, compilation, computation architectures.
A track record of conducting impactful research, demonstrated through publications and/or presentations in well-regarded journals and/or conferences.
Experience in developing software for scientific experiments using Python.

Skills and experience we also value (one or more is desirable, but not required):

Experience with high-performance languages such as Rust, C++, or Julia.
A strong background in relevant methods from fields such as control theory, optimization, machine learning, or data analysis.
Familiarity with error suppression techniques used in quantum computing, such as dynamical decoupling, readout mitigation, zero-noise extrapolation, Pauli twirling, or pulse-level optimization.
Familiarity with executing circuits in Qiskit.
Exceptional scientific communication skills, evidenced by a track-record of teaching, scientific outreach, writing, and/or speaking in front of both general and expert audiences.
Familiarity with hardware, such as FPGAs or ASICs
A track record of winning contracts or grants

We take a multidisciplinary approach to quantum computing research, bringing together experts from diverse fields. We particularly value versatile and self-motivated problem solvers. If you are passionate about making quantum computers useful, we strongly encourage you to apply, even if you do not meet all of the requirements listed above.

Salary

The targeted base salary range for this position is between $135,000 - $205,000 and will ultimately be determined by specific job-related skills, experience, level, location and other contributing factors. Depending on the position offered, this role may be eligible for annual discretionary bonuses, equity and other forms of compensation outside of the targeted base salary range. For more information on benefits at Q-CTRL, please visit our careers page at https://q-ctrl.com/careers.

Should you have any questions related to the compensation package, please speak directly with the Talent Acquisition representative.

About Q-CTRL

Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact.

Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we’re hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology.

In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry.

At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you’re ready to help shape the future of quantum, we’d love to hear from you!

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Please be advised that our communications will only come from the @q-ctrl.com domain. All our active job postings are available on our company website.

To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

quantum algorithm quantum algorithm quantum algorithm quantum physics algorithms jobs

Senior Research Scientist, Quantum Error Correction

Postdoctoral Research Associate-1

Computational Scientist in the Artificial Intelligence for Science (AIScience)

Staff Research Scientist

Lead Research Scientist

Program Manager, Kill Chain Portfolio (Advanced Sensors & Quantum Systems)

Research Associate - Attosecond Electron Motion

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Senior Director, Developer Ecosystem

Hardware Design Engineer

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Senior Embedded Systems Engineer

Senior Technical Advisor – Unconventional Computing & Emerging Information Systems

High Performance Computing Engineer

Financial Accountant

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Computing and Artificial Intelligence (CAI) Division UGS

Senior Embedded Software Engineer - Systems Team

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