Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Lead to architect next-generation systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of machine learning, cryptography, and complex system optimization while working with world-class researchers in our state-of-the-art facility.
As part of our elite Future Systems Division, you'll lead groundbreaking projects in quantum neural networks, hybrid quantum-classical architectures, and error-resistant AI models. We provide comprehensive benefits including equity participation, flexible work arrangements, and dedicated R&D resources. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your moment to make history.
Responsibilities
- Design and implement quantum AI algorithms for machine learning optimization and predictive analytics
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Architect fault-tolerant quantum neural networks for high-stakes decision systems
- Drive innovation in quantum-resistant cryptography and secure AI protocols
- Collaborate with academic institutions and industry partners on quantum computing standards
- Publish research in top-tier journals and present at international conferences
- Mentor junior researchers and establish best practices for quantum AI development
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years experience in quantum algorithm development and machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
- Published research in quantum computing or AI at top-tier conferences (e.g., NeurIPS, QIP)
- Expertise in quantum error correction and fault-tolerant system design
- Strong background in complex mathematical modeling and statistical analysis
- Demonstrated leadership in cross-disciplinary R&D environments