Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's next-generation computing paradigm. We seek visionary researchers to develop breakthrough algorithms that will redefine machine learning and computational boundaries. Our state-of-the-art facility offers unparalleled resources for collaborative innovation in a dynamic, cross-disciplinary environment. This role represents a rare opportunity to shape the future of intelligent systems while working alongside Nobel-caliber scientists and industry disruptors.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computing architectures
- Lead cross-functional R&D initiatives in quantum neural networks and hybrid AI systems
- Develop novel error-correction protocols for scalable quantum processors
- Collaborate with hardware teams to optimize quantum-AI co-design solutions
- Author breakthrough research papers for top-tier scientific journals and conferences
- Secure federal and private funding for cutting-edge quantum-AI projects
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 5+ years of experience in quantum algorithm development
- Published research in Nature/Science or equivalent tier journals
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Expertise in tensor networks and quantum machine learning
- Demonstrated ability to secure competitive research grants
- Experience with high-performance computing clusters (HPC)
- Strong background in topological quantum error correction