Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing revolutionary algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of technology while working with cutting-edge quantum hardware and advanced neural networks.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Lead research in quantum-AI integration for autonomous systems
- Collaborate with hardware teams to optimize quantum processor utilization
- Develop error-correction protocols for scalable quantum computing
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor junior researchers in quantum information science
- Secure external funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in deep learning architectures and neural networks
- Published research in quantum machine learning or related fields
- Proficiency in Python, C++, and quantum circuit design
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)