Job Description
Shape the future of quantum-AI convergence at Nexus Quantum Labs. We're pioneering next-generation quantum neural networks and hybrid quantum-classical algorithms. Join our elite team to develop breakthrough solutions for drug discovery, climate modeling, and financial optimization. Work with cutting-edge quantum hardware and collaborate with Nobel Prize-winning physicists and AI visionaries.
Responsibilities
- Design and implement quantum neural networks for complex optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Lead research in quantum error correction and fault-tolerant computing
- Collaborate on quantum hardware-software co-design initiatives
- Publish peer-reviewed research in Nature/Science journals
- Mentor junior researchers and quantum engineering interns
- Secure federal and industry research grants
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ)
- Publication record in top-tier quantum/AI conferences
- Deep understanding of quantum information theory