Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We seek a pioneering Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and artificial intelligence. Lead groundbreaking research in quantum machine learning, optimize hybrid quantum-classical systems, and publish breakthrough findings in top-tier journals. Shape the future of computational science while collaborating with Nobel laureates and industry disruptors in our state-of-the-art facility.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era applications
- Develop hybrid quantum-classical algorithms for exponential speedup in optimization problems
- Lead cross-disciplinary research teams to solve complex computational challenges
- Author high-impact publications and patents in quantum machine learning
- Translate theoretical models into scalable prototypes for industrial deployment
- Stay ahead of emerging quantum hardware capabilities through continuous R&D
- Mentor junior researchers and foster innovation in quantum AI ecosystems
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Publication record in top-tier quantum/AI conferences (NeurIPS, QIP, etc.)
- Expertise in quantum error correction and fault-tolerant computing
- Strong background in tensor networks and quantum simulation techniques
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex concepts into actionable research