Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries while working in our state-of-the-art labs overlooking the Bay Area skyline.
We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled opportunities to publish groundbreaking research in collaboration with MIT and Stanford's quantum initiatives. Shape the future of technology with our diverse team of Nobel laureates and Turing Award winners.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Lead cross-functional R&D projects integrating quantum circuits with neural networks
- Develop error-correction protocols for quantum AI systems at scale
- Collaborate with hardware teams to co-design quantum-classical hybrid architectures
- Publish peer-reviewed research and contribute to open-source quantum frameworks
- Mentor junior researchers in quantum computing principles and AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning architectures (transformers, GANs, reinforcement learning)
- Published research in quantum machine learning or quantum information theory
- Proficiency in high-performance computing environments and parallel processing
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)