Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to decode the future of computational intelligence. You'll architect hybrid quantum neural networks, develop error-correction protocols for next-gen quantum processors, and collaborate with Nobel laureates to redefine machine learning paradigms. This role offers unparalleled resources to transform theoretical concepts into breakthrough applications in cryptography, climate modeling, and personalized medicine.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging Qiskit and TensorFlow Quantum
- Lead research in fault-tolerant quantum computing architectures for 2026-era applications
- Develop hybrid quantum-classical neural networks for exponential computational acceleration
- Collaborate with hardware teams to optimize quantum circuit designs for IBM Quantum and Rigetti systems
- Author peer-reviewed publications for Nature Quantum and IEEE journals
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning with 3+ years research experience
- Published work in quantum machine learning or quantum error correction
- Expertise in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Deep understanding of quantum entanglement protocols and decoherence mitigation
- Experience with NISQ-era hardware limitations and mitigation strategies
- Proven ability to secure government/industry grants for quantum research
- Strong background in Bayesian inference applied to quantum systems