Job Description
Horizon 2026 is at the forefront of next-generation artificial intelligence and quantum computing integration. We are seeking a visionary Senior Quantum AI Engineer to lead our revolutionary Project 2026, building the architectural backbone for autonomous systems that will redefine the technological landscape.
In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum hardware, designing algorithms that are not just efficient, but transformative. You will work in a high-performance, collaborative environment where your contributions will directly impact the future of global infrastructure.
Responsibilities
- Design and implement scalable quantum algorithms integrated with classical neural networks for Project 2026.
- Optimize machine learning models to run on hybrid quantum-classical hardware architectures.
- Collaborate with cross-functional teams including quantum physicists and software developers to define technical roadmaps.
- Conduct rigorous testing and validation of AI models to ensure accuracy, safety, and ethical compliance.
- Lead architectural discussions and mentor junior engineers to foster a culture of technical excellence.
- Stay ahead of industry trends in quantum computing and AI to propose innovative solutions.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning Engineering or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Deep understanding of distributed systems, cloud architecture (AWS/GCP), and data pipelines.
- Proven track record of publishing research or delivering complex software solutions.