Job Description
Shape the future of human-computer interaction at Nexus Quantum Dynamics. We're pioneering the next wave of AI-driven quantum computing solutions, seeking visionary researchers to develop transformative algorithms for 2026 and beyond. Join our cross-disciplinary team of physicists, engineers, and data scientists in redefining computational boundaries.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for real-world applications
- Lead R&D initiatives in quantum neural networks and algorithm optimization
- Collaborate with hardware teams to develop fault-tolerant quantum computing protocols
- Author breakthrough research papers for top-tier journals and conferences
- Drive commercialization of quantum AI solutions across finance, healthcare, and logistics
- Mentor junior researchers and foster innovation through hackathons and workshops
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and statistical modeling
- Demonstrated ability to translate complex theoretical concepts into practical applications