Job Description
We are seeking a visionary Quantum AI Engineer to bridge the gap between classical machine learning and the next generation of quantum computing. As we look toward the future landscape of 2026, our mission is to pioneer algorithms that solve problems currently deemed impossible.
In this role, you will be at the forefront of innovation, working with cutting-edge hardware and software stacks to deploy scalable AI models in a quantum environment.
Responsibilities
- Design, develop, and optimize hybrid quantum-classical machine learning algorithms.
- Collaborate with physicists and hardware engineers to leverage quantum hardware capabilities effectively.
- Conduct research to identify new applications for quantum computing in data analysis and optimization.
- Mentor junior engineers and contribute to the technical roadmap for future quantum releases.
- Ensure scalability, security, and performance of deployed quantum solutions.
- Stay abreast of the latest advancements in quantum mechanics and AI to drive continuous improvement.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- Proven experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
- Strong proficiency in Python, TensorFlow, and PyTorch.
- Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
- Experience deploying models on cloud-based quantum simulators or real quantum hardware.
- Excellent problem-solving skills and the ability to work in a fast-paced, research-driven environment.