Job Description
Join Nexus Labs at the forefront of technological evolution. As a Quantum AI Research Lead, you'll architect solutions that define the computational landscape of 2026. Our cross-disciplinary team leverages quantum machine learning, neuromorphic engineering, and autonomous systems to solve humanity's most complex challenges. This role offers unparalleled resources to pioneer breakthroughs in cryptography, climate modeling, and personalized medicine.
We're seeking visionary researchers who thrive at the intersection of theoretical physics and applied AI. You'll collaborate with Nobel laureates, publish in Nature, and contribute to open-source frameworks that will shape the next decade of innovation.
Responsibilities
- Design and implement quantum neural networks for real-time data processing
- Lead development of hybrid quantum-classical optimization algorithms
- Architect secure quantum communication protocols for 2026 infrastructure
- Mentor a team of quantum computing specialists and AI researchers
- Secure $2M+ in research grants from NSF and DARPA
- Publish peer-reviewed papers in top-tier journals (Nature, Science)
- Develop commercial applications for quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience in quantum algorithm development
- Expertise in Qiskit, Cirq, or equivalent quantum SDKs
- Published research in quantum machine learning or quantum cryptography
- Proficiency in Python, TensorFlow, and high-performance computing
- Experience with quantum annealing (D-Wave systems)
- Strong background in topological quantum computing
- Demonstrated ability to secure federal research funding