Job Description
Join the forefront of computational revolution at Nexus Quantum Systems, where we're architecting the next generation of AI through quantum supremacy. We seek visionary Quantum AI Researchers to develop hybrid quantum-classical algorithms that will redefine machine learning capabilities. Our state-of-the-art lab in San Francisco provides unparalleled resources to explore uncharted territories in quantum neural networks and algorithmic optimization.
As a pioneer in this emerging field, you'll collaborate with Nobel laureates and quantum computing pioneers to solve problems previously deemed impossible. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated quantum computing resources to accelerate your research impact.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Lead experimental validation of quantum advantage in AI applications
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior researchers in quantum machine learning principles
- Secure research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Experience with quantum error correction techniques
- Demonstrated ability to translate theoretical concepts into practical implementations