Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum AI systems. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to build scalable quantum neural networks, pushing the limits of machine learning in the 2026 paradigm. Our state-of-the-art lab offers unparalleled resources for experimental quantum computing and AI integration.
Why Nexus Labs? We offer competitive equity packages, flexible hybrid work arrangements, and access to exclusive industry conferences. Our culture celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen neural networks
- Develop hybrid quantum-classical computing architectures for real-world applications
- Lead experimental validation of quantum AI models on fault-tolerant quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of research experience
- Expertise in quantum algorithms, quantum error correction, and NISQ-era systems
- Proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Strong background in machine learning and deep learning architectures
- Published research in quantum computing or quantum information theory
- Experience with high-performance computing environments and distributed systems
- Ability to translate complex theoretical concepts into practical implementations