Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We seek visionary Quantum AI Research Engineers to architect next-generation algorithms that bridge quantum computing and artificial intelligence. Work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks with 99.9% fidelity
- Lead cross-functional R&D teams in prototyping quantum AI prototypes
- Optimize quantum circuit architectures for fault-tolerant operations
- Publish breakthrough research in top-tier journals and conferences
- Secure $10M+ in government and industry research grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Published record in Nature/Science or IEEE journals
- Deep understanding of quantum error correction and decoherence mitigation
- Proven track record of securing federal research funding