Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI fusion for 2026 and beyond. We're seeking visionary researchers to develop next-generation quantum neural networks that will redefine computing paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources to collaborate with Nobel laureates and industry disruptors. Shape the future of artificial intelligence while working on projects with direct commercial applications in cryptography, drug discovery, and climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for complex problem-solving
- Lead experimental validation of quantum-AI hybrid systems in cryogenic environments
- Collaborate with hardware engineers to optimize quantum coherence times
- Publish breakthrough research in top-tier journals and industry conferences
- Develop patentable methodologies for quantum neural network training
- Mentor junior researchers in quantum information theory
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum computing frameworks (Qiskit, Cirq)
- Expertise in deep learning architectures and neural network optimization
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and quantum assembly languages
- Experience with high-performance computing and GPU acceleration
- Strong background in linear algebra and quantum error correction
- Ability to translate theoretical concepts into experimental prototypes