About the role
AI summarisedJoin Thales as a Quantum Application Engineer and play a pivotal role in developing and implementing quantum computing solutions for critical aerospace applications, including aircraft/drone traffic management and radar signal processing. This role bridges advanced quantum theory with real-world deployment in high-stakes defense and aerospace environments.
Aerospace & DefenseOnsite
Key Responsibilities
- Design, develop, and optimize quantum algorithms for aircraft/drone traffic management and radar systems.
- Collaborate with cross-functional teams to identify quantum computing use cases offering competitive advantage.
- Implement and test quantum algorithms using quantum simulators and available quantum hardware platforms.
- Analyze classical and quantum data to enhance air traffic flow optimization, collision avoidance, and radar detection.
- Support the integration of quantum solutions with existing aerospace systems and infrastructure.
- Stay current with advancements in quantum computing hardware, software, and methods relevant to aerospace applications.
- Prepare technical reports and presentations to communicate findings to stakeholders.
Requirements
- Master’s or Ph.D. in Quantum Computing, Computer Science, Physics, Electrical Engineering, or a related field.
- Strong knowledge of quantum computing principles and quantum optimization algorithms (e.g., QAOA, VQE).
- Proficiency in quantum programming frameworks (e.g., Qiskit, Qadence, Merlin).
- Proficiency in classical programming languages such as Python, C++, or MATLAB.
- Familiarity with signal processing, optimization algorithms, and traffic management systems.
- Ability to work collaboratively in a multidisciplinary environment and communicate complex technical concepts clearly.