Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. Our interdisciplinary team operates in a cutting-edge lab environment where theoretical physics meets machine learning innovation. This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and shape the future of computational intelligence.
Responsibilities
- Design and implement quantum algorithms for AI optimization
- Develop hybrid quantum-classical machine learning frameworks
- Lead cross-functional projects with robotics and nanotechnology teams
- Secure $5M+ in research grants from NSF and DARPA
- Author 3+ peer-reviewed publications annually in Nature/Science
- Mentor PhD candidates in quantum computing pathways
- Translate theoretical models into scalable industrial applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience with quantum annealing or superconducting qubits
- Published research in quantum machine learning
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Strong background in topological quantum error correction
- Experience securing federal research grants
- Deep understanding of 2026's quantum hardware roadmap