Job Description
Join the forefront of technological innovation at Nexus Quantum Labs, where we're pioneering the next wave of computing. As a Quantum AI Architect, you'll design and implement hybrid quantum-classical systems that redefine machine learning paradigms. Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We're seeking visionary engineers who thrive at the intersection of quantum mechanics and artificial intelligence. You'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum algorithms, optimize neural network architectures, and create scalable quantum computing frameworks. This role offers competitive compensation, cutting-edge research opportunities, and the chance to shape humanity's technological future.
Responsibilities
- Design and deploy hybrid quantum-classical machine learning models
- Develop quantum algorithms for optimization problems and AI training
- Architect fault-tolerant quantum computing infrastructure
- Lead R&D initiatives in quantum neural networks
- Collaborate with cross-functional teams on quantum security protocols
- Publish research in peer-reviewed journals and conferences
- Mentor junior engineers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or AI architecture
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Strong background in machine learning and neural networks
- Experience with superconducting or photonic quantum systems
- Published research in quantum computing or AI
- Proficiency in Python, C++, and high-performance computing
- Excellent problem-solving and technical leadership skills