Research Scientist

About Us
Quantum technology is likely to be as transformational in the 21st century as harnessing electricity was in the 19th. Q-CTRL is building a new quantum technology industry by overcoming the fundamental challenge in the field – hardware error and instability. Simply put, we make quantum technology useful. We have large-scale efforts in quantum computing and quantum sensing, and through our unique focus on quantum control, we have the ability to go everywhere that quantum goes.
Q-CTRL is a high-growth company that has a deep startup spirit. We’re excited by solving exceptionally difficult challenges and share an ambition to truly shape the emerging quantum technology industry, from our foundational R&D to world-leading product engineering. We are supported by tier-1 international venture capitalists, including Sequoia Capital, DCVC, Airbus Ventures, InQTel, Sierra Ventures, Squarepeg Capital, Main Sequence Ventures, Horizons Ventures, and Ridgeline Partners, giving us access to the capital that allows us to have a real impact.

Q-CTRL is a World Economic Forum Global Innovator and is a member of the Quantum Economic Development Consortium and the Tech Council of Australia. We are proud to have been selected as one of the Top 10 Most Innovative Tech Companies in Australia by the Australian Financial Review, and our work has been featured in The Economist, Forbes, Wired, Gizmodo, and more.
About the role
As a Research Engineer, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite. What you will do:

• Develop efficient and reliable methods and tools that solve challenges facing real quantum computers.
• Implement and innovate the latest techniques and algorithms from machine learning and quantum control. In particular, you will use these tools for improving the performance of real devices, quantum algorithms, near-term quantum applications, and quantum error corrections.
• Collaborate with your colleagues in the Quantum product team and Quantum Professional Services in order to better direct the research goals.
• Explain and document sophisticated control and machine learning solutions in accessible language.
• Use numerical packages like NumPy, Scipy, Tensorflow, and Scikit-learn to build high-quality research code to develop, test, and demonstrate new algorithms and methods.

We would love to hear from you if.

• You have a graduate university degree in Physics, CS, Engineering, or a closely related discipline. ( Post-grad a bonus)
• You have some publications to your name or a presentation track record in recognized academic journals/conferences in a relevant field.
• You have some familiarity with at least one of the following: Superconducting Circuits, Quantum Control or Optimal Control Machine Learning.
• You have a background in quantum algorithms and application
• You have run quantum algorithms on real devices
• You are experienced with Python
• You have developed software in Python (highly desirable, but not essential)

Why Q-CTRL ?
At Q-CTRL, you can make a difference from day one - you won't be just a cog in the machine. You will find a huge amount of support for your growth as a professional and access to senior leadership in the company and adjacent investment sector.
You’ll join a supportive team of experts who work consistently to deliver on our core value to Be Revered, while living our values to Be Real, Be Trusted and Be Just. And because Q-CTRL operates offices in Australia, the US, and Europe, you can experience personal adventures through secondments in international teams.
We offer competitive compensation packages, including the potential for equity share and annual bonuses. We also support flexible working hours and location so you can focus on having as much impact as possible without worrying about rigid schedules.
We are looking for people as excited as we are about building the quantum future. Join us!
To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.