Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco's innovation hub offers unparalleled resources to transform theoretical concepts into breakthrough applications.
As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, optimize machine learning models using quantum advantage, and solve previously intractable problems in cryptography, materials science, and climate modeling. This role offers competitive equity packages, flexible research hours, and dedicated funding for conference participation and academic publications.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML frameworks for real-world applications
- Lead cross-functional teams integrating quantum processors with classical computing systems
- Develop novel error-correction techniques for fault-tolerant quantum neural networks
- Author peer-reviewed research papers and patents in quantum machine learning
- Collaborate with industry partners to prototype quantum-optimized solutions
- Mentor junior researchers and contribute to open-source quantum AI projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks
- Published research in quantum machine learning or quantum information theory
- Expertise in quantum algorithms, quantum circuit optimization, and error correction
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and computational complexity