Job Description
Shape the future of human-machine collaboration at Nexus Quantum Dynamics. We're pioneering the next frontier of AI by integrating quantum computing with neural networks, and we need visionary engineers to architect solutions that will redefine 2026's technological landscape.
Join our elite team where your work directly impacts breakthroughs in cryptography, computational biology, and autonomous systems. This isn't just coding – it's engineering paradigms that solve previously unsolvable problems.
Responsibilities
- Design quantum-algorithms for neural network acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Optimize quantum circuits for real-time AI inference
- Lead cross-functional R&D initiatives with theoretical physicists
- Architect fault-tolerant quantum computing infrastructure
- Secure patents for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Published research in quantum machine learning
- Expertise in quantum error correction techniques
- Deep understanding of tensor networks and quantum entanglement
- Strong background in high-performance computing architectures
- Certification in quantum hardware operations (IBM Q/Google Quantum)