Job Description
Nexus Future Labs is pioneering the next era of computational intelligence. Our Project 2026 initiative aims to bridge the gap between classical machine learning and quantum mechanics by the year 2026. We are seeking a visionary Quantum AI Engineer to architect the algorithms that will define the future of data processing.
Don't just predict the future; build it. If you are obsessed with the intersection of entropy and neural networks, this is your stage. You will work in a high-performance environment where curiosity meets code, pushing the boundaries of what is computationally possible.
Responsibilities
- Design and implement quantum machine learning algorithms tailored for near-term quantum hardware (NISQ).
- Collaborate with theoretical physicists to validate quantum error correction protocols.
- Optimize classical deep learning models for hybrid quantum-classical architectures.
- Lead research papers and contribute to open-source quantum computing libraries.
- Prototype scalable solutions for high-velocity financial and scientific computing.
Qualifications
- PhD in Computer Science, Physics, Mathematics, or a related field (or equivalent professional experience).
- Proven experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of linear algebra, probability theory, and quantum mechanics principles.
- Track record of publication in top-tier AI or Physics conferences.