Job Description
Step into the future with FutureTech Dynamics, a pioneer in quantum-AI convergence. We're seeking a visionary Quantum AI Research Lead to architect breakthrough systems that will redefine 2026's technological landscape. Join our elite team at the forefront of quantum machine learning, where you'll develop scalable algorithms and hybrid quantum-classical architectures for next-generation applications in cryptography, materials science, and autonomous systems.
Our San Francisco hub offers unparalleled resources, including a 128-qubit quantum processor and collaborative partnerships with MIT and Caltech. This role combines deep technical expertise with strategic innovation leadership, requiring candidates who thrive at the intersection of quantum physics, neural networks, and ethical AI governance.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical AI models
- Architect secure quantum communication protocols for enterprise applications
- Publish peer-reviewed research in top-tier quantum computing journals
- Drive innovation roadmap for quantum-AI product development cycles
- Mentor junior researchers and establish best practices for quantum algorithm validation
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum circuit design and error correction methodologies
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Experience with high-performance computing clusters and GPU acceleration
- Demonstrated ability to translate theoretical research into practical applications