Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence in 2026. We're seeking visionary researchers to develop breakthrough algorithms that will redefine computational boundaries. Our Austin hub offers state-of-the-art facilities and unparalleled collaboration with MIT and Stanford partners. This role shapes the future of machine learning, cryptography, and computational biology through quantum-entangled neural networks.
Responsibilities
- Design and implement quantum-enhanced machine learning models for real-world applications
- Lead cross-functional teams in developing fault-tolerant quantum processors
- Publish cutting-edge research in Nature Quantum and IEEE journals
- Architect hybrid quantum-classical computing frameworks for enterprise clients
- Drive innovation in quantum-safe cryptography protocols
- Mentor PhD researchers in quantum algorithm development
- Secure $5M+ in NSF and DoD research grants
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with 5+ years research experience
- Published work in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Proficiency in Python, TensorFlow Quantum, and quantum machine learning frameworks
- Deep understanding of quantum error correction and fault tolerance
- Experience with superconducting qubit architectures
- Track record of translating theoretical models into experimental prototypes