Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. We're seeking visionary Quantum AI Research Scientists to architect revolutionary solutions that will redefine computing by 2026. Work in our state-of-the-art lab with unlimited resources to explore uncharted territories in quantum machine learning, cryptography, and computational theory.
This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the future of human-computer interaction. Our team operates on a 4-day work week with flexible hybrid arrangements, ensuring optimal work-life integration.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional teams in quantum simulation and error correction research
- Author peer-reviewed publications for Nature/Science journals
- Translate theoretical models into practical quantum computing applications
- Collaborate with hardware engineers to optimize quantum chip designs
- Present findings at international quantum computing conferences
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 3+ years of experience with quantum programming (Q#, Qiskit, or Cirq)
- Expertise in quantum error correction protocols and fault-tolerant systems
- Publication record in top-tier quantum/AI journals (arXiv:quant-ph)
- Strong background in tensor networks and quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)