Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. In this role, you'll develop hybrid quantum-neural systems, optimize quantum machine learning models, and collaborate with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum annealers, photonic processors, and dedicated supercomputing clusters. We provide comprehensive benefits including equity, wellness stipends, and flexible hybrid work arrangements. If you're ready to shape the future of technology, we invite you to apply.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Lead research in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to co-design quantum processors
- Publish breakthrough research in peer-reviewed journals and conferences
- Mentor junior researchers and contribute to patent development
- Secure research funding through government and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum programming languages (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or AI (arXiv/IEEE)
- Experience with quantum simulation tools and hardware interfaces
- Demonstrated ability to lead complex technical projects
- Strong problem-solving skills and innovative thinking