Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computation, cryptography, and machine intelligence. As a Quantum AI Systems Architect, you'll design next-gen hybrid architectures leveraging quantum supremacy and neural integration. Collaborate with Nobel laureates and build the digital backbone of tomorrow's enterprises.
Our San Francisco campus offers unparalleled resources: 500-qubit quantum processors, neuromorphic computing clusters, and a culture of radical innovation. This isn't just a job—it's your chance to shape humanity's technological destiny.
What you'll achieve: Architect production-ready quantum-AI frameworks, secure quantum-resistant networks, and lead patent-pending R&D initiatives. Your work will power breakthroughs in drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design scalable quantum-AI hybrid architectures for enterprise applications
- Develop quantum-resistant encryption protocols for next-gen cybersecurity
- Lead cross-functional teams in implementing quantum machine learning pipelines
- Architect fault-tolerant quantum computing systems with 99.999% reliability
- Optimize quantum algorithms for real-time data processing at petabyte scale
- Drive innovation in quantum neural network integration
- Secure patents for proprietary quantum-AI methodologies
- Mentor researchers in quantum information theory and AI ethics
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years developing quantum algorithms or AI neural architectures
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with Qiskit, Cirq, or equivalent quantum SDKs
- Deep understanding of quantum machine learning frameworks (e.g., TensorFlow Quantum)
- Published research in top-tier journals (Nature/Science/IEEE)
- Security clearance eligibility for DoD quantum projects
- Fluency in Python/C++ with high-performance computing optimization