Job Description
Shape the future at Nexus Future Labs, where we're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll lead groundbreaking research in quantum machine learning algorithms, error correction protocols, and hybrid quantum-classical systems. Join our interdisciplinary team of Nobel laureates and industry disruptors in a state-of-the-art facility overlooking the Colorado River. We offer unparalleled resources, flexible work arrangements, and equity to ensure your breakthroughs redefine what's possible.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional research on quantum neural networks and quantum-enhanced data analysis
- Develop error mitigation strategies for near-term quantum hardware
- Collaborate with hardware engineers to optimize quantum AI applications
- Publish breakthrough research in top-tier journals and conferences
- Secure external funding through NSF and DARPA grants
- Mentor PhD candidates in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum computing or AI at NeurIPS/ICML/APS
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and information theory