Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Integration Specialist to architect next-generation solutions that merge quantum computing with artificial intelligence. This role offers unparalleled opportunities to shape the future of computational science while working alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
Our team pioneers breakthroughs in quantum machine learning, cryptography, and autonomous systems. You'll develop hybrid quantum-classical algorithms, optimize quantum neural networks, and contribute to patent-pending innovations that will redefine industries. We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements to support your professional growth.
Responsibilities
- Design and implement quantum-classical hybrid AI architectures for real-world applications
- Develop quantum algorithms that optimize machine learning models at exponential speeds
- Lead cross-functional teams in deploying quantum solutions across finance, healthcare, and logistics sectors
- Create proprietary quantum error-correction techniques for AI model stability
- Pioneer novel approaches to quantum neural network training and optimization
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Author breakthrough research published in leading journals and industry whitepapers
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proficiency in AI frameworks (PyTorch, TensorFlow) and classical optimization techniques
- Published research in quantum machine learning or quantum algorithms
- Demonstrated experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)
- Strong background in complex mathematical modeling and statistical analysis
- Proven ability to lead technical projects through full lifecycle from concept to deployment