Job Description
Shape the future of computational intelligence as our lead Quantum AI Systems Architect. We're pioneering hybrid quantum-classical neural networks that will revolutionize machine learning by 2026. Join our interdisciplinary team to design next-gen algorithms, optimize quantum circuits, and deploy breakthrough solutions in cryptography and materials science.
Responsibilities
- Design scalable quantum neural network architectures for real-world applications
- Develop hybrid quantum-classical machine learning pipelines
- Optimize quantum algorithms for error-corrected hardware platforms
- Lead cross-functional teams in implementing quantum-resistant security protocols
- Research novel quantum-computing approaches to unsolvable classical problems
- Collaborate with hardware teams on quantum processor integration
- Publish findings in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum circuit design (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong background in quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum algorithms
- Experience with high-performance computing architectures
- Knowledge of NISQ-era hardware limitations and workarounds