Job Description
Join NeuroTech Dynamics at the forefront of 2026's technological revolution as a Quantum AI Integration Specialist. We're pioneering the fusion of quantum computing with artificial intelligence to solve humanity's most complex challenges. In this pivotal role, you'll architect next-gen neural networks operating on quantum substrates, pushing the boundaries of computational possibility. Our state-of-the-art lab in downtown San Francisco offers an unparalleled environment where theoretical physics meets practical AI innovation. We provide competitive equity packages, flexible hybrid work arrangements, and access to our exclusive Quantum Residency Program. Help us build the future where quantum algorithms redefine machine learning paradigms.
Responsibilities
- Design and implement quantum neural networks using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical AI models for real-time data processing
- Lead research initiatives in quantum machine learning optimization
- Collaborate with quantum hardware engineers to bridge software-hardware gaps
- Publish breakthrough research in IEEE Quantum Computing journals
- Mentor junior scientists in quantum algorithm development
- Secure patents for novel quantum AI integration methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or related field
- 3+ years experience with quantum programming languages (Q#, Quipper)
- Expertise in deep learning frameworks (TensorFlow, PyTorch)
- Published research in quantum machine learning or quantum information theory
- Proficiency in quantum circuit optimization and error mitigation
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)