Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary Quantum AI Research Scientist to develop breakthrough algorithms that will redefine computational possibilities by 2026. This role offers unparalleled access to our state-of-the-art quantum computing infrastructure and collaborative research ecosystem.
Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and theoretical computer science. You'll contribute to projects with potential applications in drug discovery, climate modeling, and autonomous systems. We provide competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead experimental validation of quantum AI models on superconducting quantum processors
- Collaborate with theoretical physicists to develop hybrid quantum-classical frameworks
- Publish research in Nature/Science journals and present at international conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure external funding through NSF and DARPA grant proposals
- Develop patents for proprietary quantum optimization techniques
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry research experience
- Expertise in quantum circuit design and error correction methodologies
- Proficiency in Python, Qiskit, and TensorFlow Quantum frameworks
- Published record in quantum machine learning or related fields
- Demonstrated ability to translate theoretical concepts into experimental prototypes
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and computational complexity