Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges. In this role, you'll design next-gen quantum algorithms, develop hybrid AI-quantum systems, and publish breakthrough research in top-tier journals. Our state-of-the-art facility in San Francisco offers unparalleled resources, including access to quantum annealers and superconducting processors. You'll collaborate with Nobel laureates and industry pioneers to transform theoretical possibilities into tangible innovations that will shape the next decade of computing.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical AI frameworks for complex data analysis
- Lead experimental quantum computing projects using superconducting and photonic systems
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Publish peer-reviewed research and present findings at international conferences
- Secure patents for proprietary quantum AI methodologies
- Mentor junior researchers and quantum computing interns
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum programming languages (Q#, Cirq, Qiskit)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or quantum machine learning
- Experience with quantum annealing (D-Wave systems preferred)
- Deep understanding of quantum error correction and fault tolerance
- Proven ability to translate theoretical concepts into experimental implementations