Job Description
Join Nexus Labs at the frontier of 2026's quantum-AI convergence. We're pioneering next-gen autonomous systems and are seeking a visionary Quantum AI Research Engineer to architect the future. This role merges quantum computing with machine learning to solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, equipped with state-of-the-art quantum processors and neural interfaces.
Responsibilities
- Design quantum algorithms for neural network acceleration
- Develop hybrid quantum-classical AI models for predictive analytics
- Implement fault-tolerant quantum error correction protocols
- Lead cross-functional teams in prototyping 2026-era autonomous systems
- Optimize quantum machine learning workflows for real-time deployment
- Contribute to peer-reviewed publications and industry whitepapers
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- Expertise in quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or AI
- Proficiency in Python, TensorFlow, and high-performance computing
- Experience with quantum hardware integration (IBM, Rigetti, or IonQ)
- Strong background in linear algebra and quantum mechanics
- Track record of translating theoretical research into practical applications