Job Description
We are pioneering the next generation of artificial intelligence, leveraging the raw power of quantum computing to solve problems currently deemed impossible. As we approach the pivotal 2026 technological horizon, we are seeking a visionary Senior Quantum AI Engineer to join our elite R&D division.
In this role, you will bridge the gap between theoretical quantum physics and practical machine learning applications. You will be instrumental in designing algorithms that will run on next-generation hardware, defining the future of data processing and predictive modeling. If you are passionate about building the technology that will define the era of 2026, we want to hear from you.
Responsibilities
- Architect Quantum Algorithms: Design and optimize quantum machine learning (QML) algorithms to run efficiently on near-term quantum processors.
- Roadmap Execution: Lead the technical strategy for our 2026 product roadmap, ensuring feasibility and scalability of quantum solutions.
- Hardware Integration: Collaborate directly with hardware engineers to integrate AI models with emerging quantum hardware architectures.
- Model Optimization: Utilize techniques such as variational quantum eigensolvers (VQE) to improve model convergence and accuracy.
- Research & Development: Stay at the forefront of quantum physics and AI research, publishing papers and contributing to the scientific community.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and deep technical curiosity.
Qualifications
- Advanced Degree: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Machine Learning.
- Technical Proficiency: Extensive experience with Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or Pennylane.
- Mathematical Background: Strong understanding of linear algebra, probability theory, and complex systems.
- Experience: Proven track record of developing quantum algorithms or working on quantum-classical hybrid systems.
- Problem Solving: Ability to tackle complex, ill-defined problems with creative and analytical solutions.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.