Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that leverage quantum entanglement and neural networks. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into breakthrough applications. Collaborate with Nobel laureates and visionary engineers to solve humanity's most complex challenges—from climate modeling to drug discovery.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to integrate quantum processors with classical AI systems
- Develop novel error-correction protocols for quantum neural networks
- Publish peer-reviewed research in top-tier journals and conferences
- Secure federal grants and industry partnerships for quantum-AI initiatives
- Mentor PhD candidates and junior researchers in quantum computing principles
- Translate theoretical models into scalable production-ready systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (with 3+ years postdoc)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Experience with high-performance computing and distributed quantum systems
- Strong background in tensor networks and quantum neural networks
- Demonstrated ability to secure research funding ($1M+ projects)