Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI integration. We seek a visionary Quantum AI Research Lead to architect breakthrough systems that will redefine computational paradigms. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into reality, with access to cutting-edge quantum processors and AI superclusters. This role represents a rare opportunity to shape humanity's technological trajectory while working alongside Nobel laureates and Turing Award recipients in a culture that celebrates bold experimentation.
Responsibilities
- Architect and implement hybrid quantum-AI algorithms for next-generation computational models
- Lead cross-disciplinary teams of quantum physicists, machine learning engineers, and domain experts
- Develop error-correction protocols for quantum neural networks at scale
- Secure patents for novel quantum machine learning methodologies
- Collaborate with government agencies on quantum security frameworks for 2026 infrastructure
- Publish groundbreaking research in Nature/Science journals
- Mentor PhD researchers in quantum-AI convergence methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 5+ years developing quantum algorithms with demonstrated hardware implementation
- Expertise in tensor networks and quantum error correction techniques
- Published research in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
- Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Experience leading research teams with $1M+ budgets
- Deep understanding of NISQ-era limitations and fault-tolerant architectures