AddressAbout Diraq:
Diraq aims to redefine scalable quantum computing and bring practical commercial applications to the world via billions of qubits on single chips, compared to the hundreds of qubits that exist today. We are currently expanding our team to create an end-to-end quantum computing company – providing quantum hardware and software as a full stack, cloud accessible service.
Our proprietary technology, backed by 20 years of research and over USD $135M in funding across 11 patent families, allows us to scale using existing silicon CMOS manufacturing and existing foundries, to enable a faster and cheaper road to market.
We are a team of world leading scientists, engineers, and business professionals who, with our existing IP and partnerships with global technical and commercial partners, will build the quantum ecosystem of the future and enable the creation of significant economic returns across the value chain.
Since Diraq’s incorporation in May 2022, we’ve embarked on an exciting journey that will be a defining phase in our company's history. By expanding our commercial and technical team in Sydney and establishing our global presence, we're moving at speed to achieve our Phase 1 technical milestones. Our journey is more than just ambitious growth—it is the realisation of our vision, backed by the solid support of venture capital, and delivered by our remarkable team.
If you're invigorated by a rapidly evolving environment and aspire to be part of a journey that shapes the future, we warmly invite you to join us on this remarkable adventure.
Role Overview:
As a Machine Learning and Auto-Tuning Engineer, you will be at the forefront of developing and implementing Machine learning algorithms to automate the tuning of quantum devices. Your work will directly contribute to enhancing the performance and scalability of our quantum computing technologies.
Key Responsibilities:
- Design and implement Machine learning algorithms to automate the process of quantum device tuning, focusing on reducing tuning times and enhancing device performance.
- Utilize deep neural networks (DNNs) for state recognition and auto-tuning in quantum dots, ensuring high accuracy in charge state identification and optimization of gate voltages for desired quantum states.
- Conduct research and development on Machine learning techniques to efficiently characterize and tune devices, leveraging minimal constraints based on the physical principles of gate-defined devices.
- Collaborate with the R&D team to integrate Machine learning models into the experimental setup, contributing to the automation of experimental science and the acceleration of discovery processes.
- Analyse and interpret complex data sets related to quantum device performance, applying probabilistic Machine learning models to predict and optimize device behaviour.
- Collaborate with external partner, stakeholders and academics on the co-development of Machine learning solutions for the quantum computing stack at large.
- Engage in continuous learning and stay updated on the latest advancements in Machine learning, quantum computing, and auto-tuning technologies.
Qualifications & Skills:
- Advanced degree (MSc or PhD) in Computer Science, Physics, Electrical Engineering, or a related field with a focus on Machine learning or quantum computing.
- Minimum of 1 year of experience in developing and implementing Machine learning algorithms, particularly deep learning models.
- Strong background in quantum physics or electrical engineering, with a solid understanding of quantum devices and their operation principles.
- Proficiency in programming languages such as Python, along with experience in using Machine learning frameworks like TensorFlow or PyTorch.
- Demonstrated ability to work independently and in cross-functional teams, with excellent problem-solving and analytical skills.
- Effective communication skills, capable of conveying complex technical information to non-expert audiences.
What We Offer:
- A unique opportunity to contribute to groundbreaking research in scalable quantum computing.
- A dynamic and collaborative work environment where innovation and creativity are encouraged.
- Competitive salary and benefits package, including relocation support for international candidates.
- Professional development opportunities in a rapidly growing field.
To apply for this position, please submit your resume (including Australian working rights) and cover letter to **@diraq.com detailing your relevant experience and interest in joining the Diraq team.
Applications received through recruiters will not be accepted.
Job Type: Full-time
Pay: $110,000.00 – $150,000.00 per year
Schedule:
- 8 hour shift
Work Location: In person
