Senior Quantum Engineer

Pracovní nabídka

Project description:

Emerging Tech team creates rapid proofs of concept to test hypotheses about how emerging technologies can be applied to business use cases. We learn and explore at the forefront of Artificial Intelligence, Blockchain, Internet of Things, Robotics, Virtual Reality and Augmented Reality. The lab’s role is to generate prototypes, demos and learnings that our teams and clients can use when deciding how to apply and invest in emerging technologies.

The majority of the development resources would be supporting the development of assets (e.g., plugins) to further drive our overall AI strategy across the firm. In addition to that, we have ongoing AI R&D initiatives that we’d look to leverage some of these roles to help us continue driving the initiatives.

In order to keep pace with the paradigm-changing hardware innovations, we're looking for team members to bring the Quantum competency to the team.

Requirements:

Experience with quantum hardware systems (e.g., superconducting qubits, trapped ions) and familiarity with platforms like IBM Q, Rigetti, or Google Quantum
Experience in quantum algorithms such as Shor's, Grover's, and variational quantum algorithms
Understanding of quantum mechanics, quantum entanglement, superposition, and quantum error correction
Strong skills in classical programming languages (e.g., Python, C++, Julia) and frameworks, with a focus on optimization and computational efficiency
Preferred 2-5 years (at least 1+ years in quantum algorithms/quantum cryptography/quantum computing, and rest in Generative AI/ Data Science etc.)
Understanding of machine learning and deep learning algorithms (e.g. random forests, ensemble methods, deep neural networks, convolutional neural networks etc.) and when it is appropriate to use each technique.
Understanding of open-source deep learning frameworks (PyTorch, Keras, Tensorflow)
Experience with research publications on quantum algorithms or applications of quantum computers (e.g., in quantum simulation, linear algebra, cryptography etc.) in highly reputed international journals.

Primary skills:

Deep understanding of linear algebra, advanced concepts of quantum computing, quantum algorithms, understanding of gate-based quantum systems, IBM Qiskit, D-Wave’s quantum annealing, quantum optimization using D-Wave’s Leap/Ocean, hands on understanding of D-Wave’s QUBOs for solving optimization problems, quantum cryptography, quantum NLP, and good understanding of Python is a must.

Secondary skills (good to have):

Practical knowledge of applying machine learning & deep learning techniques using Tensorflow, Keras & Scikit-learn packages with Python.
Experience in publishing research articles in top international journals.