About Us

Founded in 2017, Q-CTRL has grown to become the global leader in quantum. We’re using control to solve the hardest problems facing quantum technology, improving hardware performance and accelerating pathways to useful quantum computers and other technologies. As a product-led company, we bring together diverse teams such as product, design, engineering and research to help achieve our mission of making quantum technology useful. Join us to help shape the quantum future.

Key Milestones

• In November 2023, we announced an industry-first partnership with IBM Quantum Services, natively integrating our performance management software with all IBM quantum computers. Building off of this relationship, in September 2024 we started offering two services via IBM’s new Qiskit Functions Catalog as an inaugural partner.
• Designed and moved our Global HQ offices and lab space into the first purpose-built (and award winning) commercial and research facility for a quantum technology company in Australia.
• Continued to deliver real world outcomes across the quantum sectors, with our work with Australian Defence on software-ruggedized quantum sensing for navigation without GPS, as featured in the New York Times.
• In October 2024, we announced our record breaking expansion of our Series B funding round to USD $113M, with $59M USD of new capital.
• Grew our global presence to include Los Angeles, Berlin, and Oxford - as well as the recently announced office in San Francisco.

From educating the workforce on how quantum computing works, to building the next generation of quantum sensors, to delivering massive performance gains for end-users, it all starts with hiring the right talent. If you want to help us build the Quantum future, read on.

About the Role

At Q-CTRL, we’re pioneering the future of quantum technology. Our Applications and Algorithms 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 on leveraging near-term quantum computers to simulate physical and chemical systems, with opportunities to explore quantum optimization, error correction, and quantum machine learning. You’ll collaborate closely across research, engineering, and product teams to translate scientific advances into high-impact software solutions integrated with leading quantum hardware platforms. This is your opportunity to work at the forefront of quantum computing, driving real-world innovation in a rapidly evolving field.

Responsibilities

• 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 control, applying this knowledge to develop 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.

Ideally You'll 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 algorithms, such as quantum simulation, quantum optimization, quantum machine learning, and quantum error correction.
• 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 We Also Value

• 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.