Skip to content
Senior Research Scientist – Quantum Control
| Company | Q-CTRL |
|---|
| Location | Los Angeles, CA, USA |
|---|
| Salary | $123000 – $230000 |
|---|
| Type | Full-Time |
|---|
| Degrees | PhD |
|---|
| Experience Level | Senior |
|---|
Requirements
- An advanced degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline. A PhD is preferred, however we will also consider exceptional individuals with previous industry experience.
- Expertise in quantum computing. Specifically, for this role we would like to see a background and interest in quantum control theory, and/or error suppression in quantum systems or circuits.
- 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).
Responsibilities
- 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, near-term quantum applications, and quantum error correction schemes.
- Collaborate with engineering teams to translate your ideas into production-quality software.
- Engage with users to gather feedback and enhance our products.
- Explain and present your work in clear and accessible language. Incorporate feedback and foster effective collaboration with colleagues.
- 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.
Preferred Qualifications
- 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.
- 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.
