Job Description
Join Nexus Future Labs at the bleeding edge of technological evolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine industries by 2026. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks and hybrid AI systems that solve previously unsolvable challenges. Our Austin R&D hub offers unparalleled resources, including a 500-qubit quantum processor and exascale computing infrastructure.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI applications
- Lead research in quantum-entangled neural networks and hybrid quantum-classical models
- Develop error-correction protocols for scalable quantum computing systems
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Publish peer-reviewed research in Nature Quantum and IEEE journals
- Mentor postdoctoral researchers and drive open-source quantum AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (postdoc experience preferred)
- Expertise in quantum machine learning frameworks (Qiskit, PennyLane, Cirq)
- Published research in quantum algorithms or quantum neural networks
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Deep understanding of quantum decoherence and error mitigation
- Experience with high-performance computing clusters and GPU acceleration