Job Description
Join Nexus Innovations as we pioneer the quantum-AI frontier for 2026. We're seeking a visionary Quantum AI Architect to design next-generation systems that merge quantum computing with artificial intelligence. This role sits at the intersection of physics, machine learning, and software engineering, requiring bold innovation and technical excellence.
You'll lead the development of hybrid quantum-neural networks, architect fault-tolerant quantum processors, and define roadmaps for quantum machine learning applications. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources to transform theoretical breakthroughs into practical solutions.
This position includes competitive equity, comprehensive benefits, and opportunities to publish cutting-edge research. We're building the future—and we need your expertise to make it quantum.
Responsibilities
- Design scalable quantum-AI hybrid architectures for enterprise applications
- Develop error-corrected quantum algorithms for machine learning acceleration
- Create simulation frameworks for quantum neural network validation
- Lead cross-functional teams of physicists, ML engineers, and software developers
- Define technical specifications for quantum hardware integration
- Establish security protocols for quantum-resistant cryptography systems
- Present research findings at industry conferences and academic symposia
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- 5+ years in quantum algorithm development or AI system architecture
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or quantum computing
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Strong background in complex mathematical modeling and optimization