Top 92 Quantum algorithm algorithms quantum algorithm quantum algorithm qubit quantum Jobs

Senior Scientist, Quantum Compilation
Q-CTRL —Los Angeles, CA
- Full-time
- Computer Science
- Engineering
- C++
7d
Postdoctoral Research Scientist
Columbia University —United States
- $72,116 - $74,279 a year
- University
- Doctor of Philosophy
- Senior level
Layout Verification / PEX Engineer
PsiQuantum —Palo Alto, CA
- $110,000 - $170,000 a year
- Email
- Senior level
- Electrical Engineering
- Communication skills
3h

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Senior Scientist, Quantum Compilation

Q-CTRL
Los Angeles, CA

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Job Details

Full-time
7 days ago

Qualifications

AI models
GPU programming
MATLAB
Software engineering
Computational research
Academic research projects
Rust (programming language)
Wolfram Mathematica
Computer Science
Automation
PyTorch
Conference papers
Engineering
NumPy
Publishing papers in peer-reviewed journals
Mathematics
Collaborative research
C++
Machine intelligence
Julia
Doctor of Philosophy
Computer hardware
Engineering research
Physics
Conducting conference presentations
Software development
Participating in conferences
AI implementation
Algorithm design research
Machine learning libraries

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

We are seeking a Research Scientist / Senior Research Scientist to focus on quantum compilation. You will work within a team of researchers dedicated to pushing the limits of quantum compilation. In particular, you will:

Develop efficient and reliable methods and tools that solve challenges facing real quantum computers.
Stay informed about the latest advances in quantum computing and quantum control, and leverage this knowledge to implement and refine cutting-edge methodologies.
Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
Create code for optimizing quantum algorithms, applications, and quantum error correction schemes.
Collaborate with engineering teams to translate your ideas into production-quality software.
Explain and present your work in clear and accessible language.
Write articles for publication in peer-reviewed journals, attend and present your work at conferences, and collaborate with other industrial and academic research groups.
Use open-source scientific computing packages like Qiskit, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods.

You should have:

An advanced degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline. A PhD is preferred, but we will also consider exceptional individuals with previous industry experience.
Expertise in quantum computing, quantum algorithms, or quantum control. Specifically, for this role we would like to see expertise in quantum circuit compilation, qubit routing, or layout selection.
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 one of the commonly-used languages such as Python, Julia, Matlab, or Mathematica (our team primarily uses Python).

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

Experience with high-performance languages such as Rust, C++, or Julia.
Experience with GPUs, TPUs, and other forms of hardware-accelerated computing.
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.
Familiarity with quantum error correction (QEC)
Exceptional scientific communication skills, evidenced by a track-record of teaching, scientific outreach, writing, producing elegant figures and visualizations, and/or speaking in front of both general and expert audiences.

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.

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