Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next frontier of computational intelligence. We're seeking a visionary Quantum AI Systems Architect to design and implement hybrid quantum-classical frameworks that will revolutionize industries by 2026. This role offers an unparalleled opportunity to shape the future of artificial intelligence while working with cutting-edge quantum hardware and advanced neural networks.
As a key member of our Future Technologies Division, you'll collaborate with Nobel Prize-winning physicists and AI researchers to develop scalable quantum machine learning models. Our state-of-the-art facility in San Francisco's Innovation District provides the perfect environment for breakthrough research, with access to quantum annealing systems, photonic processors, and next-gen neuromorphic computing resources.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
- Develop quantum algorithms that exponentially accelerate machine learning training processes
- Lead cross-functional teams of quantum physicists, AI engineers, and domain specialists
- Architect fault-tolerant quantum computing systems with error correction protocols
- Optimize quantum neural networks for real-time decision-making in high-stakes environments
- Establish industry standards for quantum AI security and ethical frameworks
- Drive innovation through research partnerships with leading quantum computing labs
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Quil, or Qiskit) and quantum circuit design
- Proven track record in developing production-level quantum machine learning systems
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in advanced neural networks and distributed computing
- Experience with quantum hardware platforms (Rigetti, IBM Quantum, or IonQ)
- Published research in peer-reviewed quantum computing or AI journals
- Ability to translate complex quantum concepts into practical business solutions