Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in fields from drug discovery to climate modeling.
Our Austin-based innovation hub offers unparalleled resources including quantum annealing arrays, neuromorphic computing clusters, and cross-disciplinary collaboration with Nobel laureates. We provide competitive equity packages, flexible R&D budgets, and dedicated quantum lab access.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Lead experimental validation of quantum-classical hybrid neural networks
- Develop error-correction protocols for scalable quantum computing systems
- Collaborate with hardware teams to co-design quantum processors
- Publish peer-reviewed research in top-tier journals/conferences
- Mentor PhD researchers in quantum machine learning methodologies
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of quantum algorithm development experience
- Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
- Publication record in Nature/Science or IEEE Transactions on Quantum Engineering
- Expertise in tensor networks and quantum circuit optimization
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Experience with superconducting qubit architectures preferred