Job Description
Shape the future at Nexus Quantum Labs, where quantum computing meets artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs that will redefine technology by 2026. Join our elite team at the intersection of quantum mechanics and machine learning, working with state-of-the-art hardware and algorithms that will power the next generation of computational systems.
What You'll Achieve: Design hybrid quantum-classical neural networks, optimize quantum error correction protocols, and develop novel AI algorithms for quantum supremacy. Collaborate with Nobel laureates and industry disruptors in our Silicon Valley hub, where your work will directly impact fields from drug discovery to climate modeling.
Responsibilities
- Develop quantum machine learning frameworks for NLP and computer vision applications
- Design error-corrected quantum circuits for AI acceleration
- Create hybrid quantum-classical training pipelines for neural networks
- Optimize quantum algorithms for real-world enterprise deployment
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers in quantum AI methodologies
- Secure government and industry grants for quantum AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- Expertise in Qiskit, Cirq, or PennyLane frameworks
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and quantum assembly languages
- Experience with D-Wave or IBM Quantum systems
- Deep understanding of quantum entanglement and decoherence principles
- Track record of translating theoretical models into practical implementations