Job Description
Join FutureTech Innovations at the forefront of quantum-AI convergence. We're pioneering next-gen autonomous systems that will redefine industries by 2026. Lead groundbreaking research in quantum machine learning, develop scalable quantum neural networks, and architect hybrid quantum-classical frameworks. Collaborate with Nobel laureates and disruptors in our state-of-the-art quantum lab, where your work directly shapes humanity's technological horizon.
Responsibilities
- Design and implement quantum algorithms for advanced AI optimization
- Develop hybrid quantum-classical neural architectures
- Lead cross-functional teams in prototyping quantum-AI systems
- Publish research in top-tier journals/conferences (Nature, IEEE)
- Secure $5M+ in quantum computing grants
- Architect fault-tolerant quantum neural networks
- Drive commercialization of quantum-AI solutions
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, Q#)
- Expertise in deep learning frameworks (PyTorch, TensorFlow)
- Published work in quantum machine learning or AI
- Experience with superconducting/qubit systems
- Strong mathematical foundations (linear algebra, topology)
- Proven grant-writing and research leadership