Job Description
Join Nexus Futuristics at the forefront of technological evolution as we pioneer the next generation of quantum AI systems. As a 2026 Quantum AI Research Lead, you'll architect breakthrough solutions that redefine human-machine collaboration. Our Austin-based R&D hub offers unparalleled resources to transform theoretical concepts into scalable realities. This role requires visionary thinking and hands-on expertise in cutting-edge quantum computing frameworks.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
- Lead cross-functional teams of physicists, engineers, and data scientists in rapid prototyping cycles
- Develop novel error-correction protocols for quantum neural networks
- Secure federal grants and private partnerships for next-gen AI research initiatives
- Publish breakthrough findings in top-tier scientific journals and industry conferences
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Proven track record in publishing peer-reviewed quantum AI research
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Deep understanding of NISQ-era hardware limitations and mitigation strategies
- Strong background in tensor networks and quantum information theory
- Experience leading multi-disciplinary R&D teams with $1M+ budgets
- Active security clearance preferred for government-contract projects