Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum computing with machine learning, pushing the boundaries of computational intelligence.
Our state-of-the-art lab in San Francisco offers unparalleled resources including 128-qubit quantum processors, exascale computing clusters, and interdisciplinary teams working on climate modeling, drug discovery, and autonomous systems. We value bold thinkers who thrive at the intersection of theoretical physics and applied AI.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research on quantum neural networks and hybrid quantum-classical models
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Publish breakthrough research in top-tier journals and conferences
- Develop proprietary quantum computing frameworks and optimization techniques
- Mentor junior researchers and drive innovation in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)