Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI integration solutions for 2026. We're seeking visionary researchers to develop next-gen algorithms that bridge quantum computing and artificial intelligence. This role offers unparalleled opportunities to shape the future of computational science while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Bay Area facility.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Develop novel hybrid quantum-classical AI frameworks for enterprise applications
- Lead cross-functional teams in prototyping quantum AI solutions for finance, logistics, and healthcare
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum algorithm performance
- Secure and manage $5M+ research grants from NSF and DARPA
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or AI optimization
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience securing federal research funding