Job Description
Join the forefront of technological evolution at Nexus Quantum Dynamics, where we're engineering the quantum-powered future. We seek a visionary Quantum AI Integration Specialist to bridge the gap between quantum computing and artificial intelligence, transforming theoretical possibilities into revolutionary solutions. Our San Francisco hub offers unparalleled resources to pioneer next-gen systems that will redefine computational paradigms.
In this pivotal role, you'll architect hybrid quantum-classical AI architectures, develop error-resistant quantum neural networks, and collaborate with Nobel laureates to accelerate breakthroughs. We provide competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum lab. Shape the technologies that will define 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data analysis
- Develop error-corrected quantum neural network architectures
- Integrate quantum processors with classical AI frameworks (PyTorch/TensorFlow)
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Optimize quantum circuits for AI-specific computational bottlenecks
- Publish research in IEEE/ACM quantum-AI journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in Python/C++ with quantum simulation frameworks
- Published research in quantum machine learning or AI optimization
- Experience with NISQ-era hardware constraints and mitigation strategies
- Deep understanding of quantum entanglement and superposition principles
- Track record of developing production-level quantum algorithms