Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems for 2026. Our mission is to build the computational backbone for tomorrow's breakthroughs in sustainable energy, medical diagnostics, and autonomous systems. We're seeking a visionary Research Lead to architect our quantum machine learning framework and drive cross-disciplinary innovation.
This role offers unparalleled opportunity to shape the future of computational intelligence while working with cutting-edge quantum processors and neural networks. You'll collaborate with Nobel laureates, lead a team of world-class researchers, and publish findings in top-tier journals.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead a multidisciplinary team of physicists, computer scientists, and AI specialists
- Develop novel quantum error correction protocols for real-world applications
- Partner with industry leaders to prototype quantum-AI solutions in healthcare and logistics
- Secure federal grants and publish breakthrough research in Nature/Science
- Mentor PhD candidates and establish academic partnerships with MIT/Stanford
- Present findings at Davos and World Economic Forum summits
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or topological quantum computing
- Expertise in tensor networks and quantum neural networks
- Track record of securing NSF/DOE grants >$1M
- Fluency in Python, C++, and quantum circuit optimization
- Deep understanding of quantum decoherence mitigation strategies
- Demonstrated leadership in cross-functional R&D teams