Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries in 2026 and beyond. Our multidisciplinary team operates at the intersection of physics, computer science, and machine learning, creating solutions for global challenges in cryptography, drug discovery, and climate modeling.
This role offers unparalleled access to our state-of-the-art quantum annealing infrastructure and collaborative partnerships with leading academic institutions. You'll work in our dynamic San Francisco hub where innovation thrives through cross-functional collaboration and cutting-edge resources.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop error mitigation strategies for practical quantum computing applications
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development for proprietary technologies
- Secure external funding through government grants and industry partnerships
Qualifications
- PhD in Physics, Computer Science, Mathematics, or related field with 3+ years of quantum research experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Demonstrated expertise in machine learning and deep learning architectures
- Published research in quantum computing or quantum information theory
- Strong analytical skills with experience solving complex optimization problems
- Experience with high-performance computing environments and parallel processing
- Excellent written and verbal communication skills for technical audiences
- Ability to secure competitive research grants and funding