Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Researcher to architect the next generation of hybrid quantum-neural systems. This role sits at the intersection of quantum computing, artificial intelligence, and predictive analytics, where you'll develop breakthrough algorithms that redefine computational boundaries.
In our state-of-the-art facility, you'll collaborate with Nobel laureates and Turing Award recipients to solve humanity's most complex challenges. We offer unparalleled resources for experimentation, including access to 1000+ qubit quantum processors and our proprietary neuro-quantum simulation framework. This is more than a role—it's your opportunity to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum algorithms leveraging QML frameworks for 2026-era optimization problems
- Develop hybrid quantum-classical neural architectures for next-generation AI models
- Lead cross-disciplinary research teams in quantum error correction and fault-tolerant computing
- Translate theoretical breakthroughs into patentable quantum AI methodologies
- Architect predictive systems for climate modeling, drug discovery, and financial markets
- Author whitepapers for IEEE Nature and other top-tier scientific journals
- Mentor PhD candidates in quantum machine learning pathways
Qualifications
- PhD in Quantum Computing, Physics, or Computational Mathematics
- 5+ years experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum neural networks
- Expertise in tensor networks and quantum circuit optimization
- Deep understanding of quantum decoherence mitigation techniques
- Proficiency in high-performance computing environments (HPC, GPU clusters)
- Track record of translating theoretical models into practical implementations