Job Description
Join Nexus Quantum Dynamics at the forefront of technological revolution in 2026. We're pioneering quantum-AI integration systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop next-generation algorithms, collaborate with Nobel laureates, and shape the future of machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research. We provide competitive equity packages, flexible schedules, and dedicated innovation time. Help us solve humanity's most complex challenges while advancing your career in one of tech's most dynamic fields.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Publish peer-reviewed research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum algorithm performance
- Develop proprietary frameworks for quantum error correction and scalability
- Secure government and private research grants for quantum-AI initiatives
- Mentor junior researchers and foster innovation through hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Published work in quantum machine learning or quantum algorithms
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing clusters and GPU acceleration
- Expertise in Python, TensorFlow, or PyTorch for classical AI components
- Demonstrated ability to translate theoretical concepts into practical solutions