Job Description
Join NexusLabs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation computational frameworks that redefine machine learning paradigms. As a Quantum AI Researcher, you'll architect breakthrough algorithms leveraging quantum supremacy and neural network fusion. Our state-of-the-art lab offers unparalleled resources to transform theoretical models into scalable solutions for global industries.
Position includes competitive equity, flexible work arrangements, and access to our exclusive 'Future Tech Incubator' program. Collaborate with Nobel laureates and Turing Award winners in an environment where innovation isn't just encouraged—it's mandated.
Responsibilities
- Design and implement quantum-entangled neural network architectures for 2026-era computing systems
- Lead cross-functional teams in developing hybrid quantum-classical ML pipelines
- Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
- Translate theoretical quantum algorithms into production-ready frameworks
- Secure $2M+ in research grants from DARPA/NSF partnerships
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (2020-2025)
- 3+ years experience with Qiskit/IBM Quantum Experience frameworks
- Published research in quantum machine learning or topological quantum computing
- Expertise in tensor networks and quantum error correction protocols
- Proficiency in Python/C++ with quantum simulation libraries (Q#, Cirq)
- Strong background in category theory for quantum system modeling