Job Description
Shape the future of human-machine intelligence at Nexus Quantum Systems. We're pioneering quantum-AI fusion technologies that will redefine computational boundaries by 2026. Join our elite research team developing hybrid quantum-neural architectures for breakthrough applications in climate modeling, drug discovery, and autonomous systems. This role offers unparalleled access to our next-gen quantum hardware and collaborative partnerships with MIT and Stanford's quantum labs.
Responsibilities
- Design and implement quantum neural network algorithms using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical models for real-time data processing at scale
- Lead cross-functional prototyping of quantum-AI solutions for enterprise clients
- Author white papers and patents for novel quantum machine learning methodologies
- Optimize quantum error correction protocols for AI workloads
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in Python with quantum libraries (Qiskit, PennyLane, or Q#)
- Publication record in quantum machine learning or quantum information theory
- Deep understanding of quantum decoherence and error correction principles
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, probability theory, and statistical modeling