Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our interdisciplinary team is developing next-generation AI systems that leverage quantum algorithms to solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling. This role offers unparalleled opportunities to shape the future of human-machine intelligence while working in our state-of-the-art R&D facility in the heart of San Francisco's innovation corridor.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Lead breakthrough research in quantum neural networks and algorithm optimization
- Collaborate with cross-functional teams to integrate quantum AI solutions into commercial products
- Publish peer-reviewed research in top-tier scientific journals and conferences
- Develop patents for novel quantum AI methodologies and applications
- Mentor junior researchers and drive innovation through experimental prototyping
Qualifications
- PhD in Quantum Computing, AI, or related computational field (or equivalent experience)
- 5+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Expertise in deep learning architectures and classical ML optimization techniques
- Proven track record of publishing high-impact research in AI/quantum computing
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Exceptional problem-solving skills and ability to communicate complex concepts clearly