Job Description
Shape the future at Nexus Future Labs where we're pioneering 2026's quantum-AI convergence. We're seeking a visionary Quantum AI Researcher to develop next-gen algorithms that bridge quantum computing and artificial intelligence. Join our Austin-based team of Nobel laureates and Turing Award winners in a lab equipped with D-Wave and IBM quantum systems. You'll work on projects ranging from quantum neural networks to AI-driven quantum optimization, with publication opportunities in Nature and IEEE journals.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computing architectures
- Develop hybrid quantum-classical AI models for optimization and pattern recognition
- Lead research on quantum neural networks and quantum-enhanced deep learning frameworks
- Collaborate with hardware teams to optimize AI algorithms for quantum processors
- Publish breakthrough research in top-tier journals and present at global conferences
- Mentor PhD candidates in quantum-AI methodologies and ethical AI development
- Secure patents for proprietary quantum-AI methodologies and systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- Expertise in quantum algorithms (QAOA, VQE, QML) and AI frameworks (PyTorch, TensorFlow)
- Proficiency with quantum programming languages (Qiskit, Cirq, PennyLane)
- Publication record in quantum computing or AI research (Nature, Science, IEEE)
- Experience with quantum hardware integration and error mitigation techniques
- Strong background in linear algebra, probability, and computational complexity
- Passion for ethical AI development and quantum democratization