Job Description
Shape the future by architecting revolutionary quantum-AI hybrid systems at Nexus Quantum Labs. As we approach 2026's quantum tipping point, you'll design next-gen computational frameworks merging quantum supremacy with advanced neural networks. Join our interdisciplinary team tackling climate modeling, drug discovery, and cryptographic breakthroughs in a collaborative Silicon Valley environment.
We offer competitive equity packages, unlimited R&D budgets, and direct access to IBM Quantum and D-Waave systems. Your work will directly impact humanity's most pressing challenges while pioneering the technological landscape of tomorrow.
Responsibilities
- Design scalable quantum-AI integration architectures for enterprise applications
- Develop hybrid quantum-classical machine learning algorithms
- Lead cross-functional teams of physicists, ML engineers, and domain experts
- Implement error-corrected quantum computing protocols on NISQ hardware
- Secure patents for novel quantum neural network topologies
- Partner with MIT and Stanford on quantum cloud infrastructure
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 5+ years experience with quantum programming (Qiskit, Cirq, Q#)
- Expertise in TensorFlow/PyTorch and quantum circuit optimization
- Published research in Nature/Science on quantum machine learning
- Proficiency in high-performance computing (HPC) environments
- Strong background in topological quantum error correction