Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Architects to design and deploy scalable quantum neural networks that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with cutting-edge quantum hardware and machine learning frameworks.
Our team operates at the intersection of quantum physics and deep learning, developing solutions for complex optimization problems, drug discovery, and autonomous systems. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the San Francisco Bay.
Responsibilities
- Design and implement quantum neural network architectures for AI applications
- Develop hybrid quantum-classical machine learning pipelines
- Optimize quantum algorithms for real-world deployment on superconducting processors
- Create error-correction protocols for quantum-AI hybrid systems
- Lead cross-functional teams of physicists and AI researchers
- Secure patents for novel quantum-AI methodologies
- Present breakthrough findings at international conferences
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years of quantum algorithm development experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in top-tier quantum/AI journals
- Proficiency with TensorFlow/PyTorch and quantum simulators
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms