Job Description
Join Nexus Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation computational paradigms that will redefine technological boundaries. This role offers unparalleled opportunity to shape humanity's digital future in our state-of-the-art San Francisco lab.
We seek visionary researchers to develop breakthrough quantum algorithms and AI integration frameworks. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning models for 2026-era applications
- Lead cross-functional teams in prototyping quantum neural networks
- Develop error-correction protocols for large-scale quantum computing systems
- Author peer-reviewed publications on quantum-AI convergence
- Secure $5M+ in research grants through innovative proposal development
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics
- 3+ years of hands-on quantum algorithm development
- Published research in Nature/Science or equivalent top-tier journals
- Expertise in Python, Qiskit, and TensorFlow Quantum
- Deep understanding of quantum entanglement and superposition principles
- Proven track record of securing government/private research funding
- Experience with cryogenic quantum computing hardware