Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum-AI integration for 2026's most critical challenges. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and artificial intelligence. This role offers unparalleled opportunity to shape the future of computational science in our state-of-the-art San Francisco lab.
You'll collaborate with Nobel laureates and industry pioneers to transform theoretical quantum models into practical AI solutions. Our competitive compensation package includes equity, flexible remote options, and exclusive access to cutting-edge quantum hardware.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational systems
- Lead cross-functional research teams in quantum-AI convergence projects
- Develop novel error-correction protocols for quantum neural networks
- Publish breakthrough research in top-tier quantum computing journals
- Translate theoretical quantum models into scalable AI prototypes
- Collaborate with hardware engineers on quantum processor optimization
- Secure research funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Publication record in quantum computing or AI research
- Proficiency in Python, TensorFlow, and quantum circuit simulation
- Demonstrated ability to lead complex technical research initiatives
- Strong background in quantum error correction and fault tolerance