Senior Quantum Engineer

Location: Remote

B2B Contract

Start Date: ASAP

Working Hours: Until 6pm CET

Remote Work: Yes

Project Overview:

Our Emerging Tech team is at the forefront of innovation, developing rapid proofs of concept to explore how emerging technologies can be applied to real-world business use cases. We work across a wide range of cutting-edge fields, including Artificial Intelligence, Blockchain, IoT, Robotics, VR, and AR. Our mission is to create prototypes, demos, and learnings that enable teams and clients to make informed decisions on emerging tech investments.

This role will focus on developing assets (e.g., plugins) to support the firm’s AI strategy, alongside ongoing AI R&D initiatives. As the pace of hardware innovation accelerates, we are seeking talented individuals to bring Quantum expertise to the team and help drive these forward-thinking projects.

Requirements:

• Hands-on experience with quantum hardware systems such as superconducting qubits, trapped ions, or platforms like IBM Q, Rigetti, or Google Quantum.
• Proficiency in algorithms like Shor's, Grover's, and variational quantum algorithms, and a strong understanding of quantum mechanics, entanglement, superposition, and error correction.
• Strong command of programming languages like Python, C++, or Julia, with a focus on optimization and computational efficiency.
• 2-5 years of experience (at least 1+ year in quantum algorithms, quantum cryptography, or quantum computing, with the remainder in related fields like Generative AI or Data Science).
• Understanding of machine learning and deep learning algorithms, including random forests, neural networks, and when to apply each technique.
• Familiarity with open-source frameworks like PyTorch, Keras, and TensorFlow.
• Experience with publishing research on quantum algorithms or quantum computing applications in highly reputed international journals.

Primary Skills:

• Deep understanding of linear algebra and advanced quantum computing concepts.
• Proficiency with gate-based quantum systems, IBM Qiskit, D-Wave’s quantum annealing, and optimization using D-Wave’s Leap/Ocean platform.
• Hands-on knowledge of D-Wave’s QUBOs for solving optimization problems, quantum cryptography, quantum NLP.
• Strong proficiency in Python.

Secondary Skills (Good to Have):

• Practical knowledge of applying machine learning and deep learning techniques using TensorFlow, Keras, and Scikit-learn with Python.
• Experience with research publications in top international journals.