Job Description
Join the frontier of technological innovation at Nexus Quantum Labs, where we're pioneering the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll design and implement revolutionary algorithms that bridge quantum computing and artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities to transform theoretical concepts into breakthrough applications.
We're seeking visionary minds passionate about shaping 2026's technological landscape. You'll work alongside Nobel laureates and industry disruptors in an environment that values intellectual curiosity, cross-disciplinary collaboration, and audacious thinking. This role offers competitive compensation, equity, and the opportunity to patent groundbreaking discoveries.
Responsibilities
- Develop novel quantum machine learning algorithms for optimization and pattern recognition
- Design hybrid quantum-classical neural networks for real-world deployment
- Lead experimental validation of quantum AI prototypes on D-Wave and IBM systems
- Collaborate with hardware teams to co-design quantum-resistant AI architectures
- Author peer-reviewed publications and contribute to open-source quantum-AI frameworks
- Present findings at international conferences and industry summits
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Quil)
- Deep expertise in quantum algorithms, error correction, and fault tolerance
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in top-tier quantum/AI journals or conferences
- Strong background in linear algebra, probability theory, and information theory
- Demonstrated ability to translate complex theoretical concepts into practical implementations