Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This role offers unparalleled resources to develop next-gen algorithms for climate modeling, drug discovery, and autonomous systems. Our state-of-the-art facility in San Francisco's innovation hub provides access to quantum annealers, supercomputers, and a multidisciplinary team of Nobel laureates and industry pioneers.
What You'll Achieve: Lead the development of hybrid quantum-classical neural networks, publish in top-tier journals (Nature, Science, Quantum), and shape the future of human-AI symbiosis. You'll collaborate with government agencies and Fortune 500 companies deploying your solutions at scale.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional R&D projects integrating quantum processors with classical AI frameworks
- Develop proprietary error-correction techniques for quantum neural networks
- Author peer-reviewed publications and patent applications in quantum AI
- Mentor junior researchers and establish industry partnerships
- Present findings at international conferences (IEEE Quantum Week, NeurIPS)
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in Python, Qiskit, TensorFlow Quantum, and Cirq
- Publication record in quantum machine learning or quantum information theory
- Demonstrated experience with high-performance computing and GPU acceleration
- Deep understanding of quantum error correction and fault-tolerant computing
- Ability to translate complex quantum concepts into practical business applications