Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer the next generation of quantum-AI convergence. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions for 2026 and beyond. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, leveraging cutting-edge quantum hardware and machine learning frameworks to solve humanity's most complex challenges.
Our team operates at the intersection of quantum computing, artificial intelligence, and computational physics, developing proprietary algorithms that will redefine technological paradigms. This role offers unparalleled opportunities to publish groundbreaking research, patent innovations, and shape the future of intelligent systems.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead cross-functional R&D projects integrating quantum processors with neural networks
- Develop proprietary quantum error correction techniques for scalable AI systems
- Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
- Author high-impact research publications and patents in top-tier journals
- Mentor junior researchers in quantum computing and AI methodologies
- Secure and manage multi-million dollar research grants from government and industry partners
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics with 3+ years industry experience
- Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
- Published record in quantum algorithms or AI optimization (arXiv/IEEE journals)
- Proficiency in Python/C++ with quantum simulation libraries (Q#, Cirq)
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience with large-scale AI model training and deployment
- Demonstrated ability to secure competitive research funding