Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen algorithms for quantum machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit processors and dedicated GPU clusters. Enjoy flexible work arrangements, equity grants, and comprehensive benefits while solving humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to integrate quantum processors with classical AI frameworks
- Publish groundbreaking research in top-tier journals and conferences
- Develop error-correction protocols for fault-tolerant quantum systems
- Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
- Secure research grants and patents for innovative quantum methodologies
- Mentor junior researchers and foster an innovation-driven culture
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Published work in quantum computing or quantum information theory
- Expertise in quantum error correction and fault-tolerance techniques
- Demonstrated ability to secure research funding ($500K+ preferred)
- Experience with high-performance computing environments