Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Integration Specialist to pioneer the convergence of quantum computing and artificial intelligence. This role will architect next-gen systems that leverage quantum machine learning to solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility, shaping the future of computational science.
Our team operates at the intersection of theoretical physics and applied AI, developing quantum neural networks that will redefine industries from pharmaceuticals to climate modeling. You'll have access to our 1024-qubit quantum processor and dedicated GPU clusters to transform quantum algorithms into production-ready AI solutions.
Responsibilities
- Design and implement quantum machine learning architectures for complex optimization problems
- Develop hybrid quantum-classical AI models with 99.9% fidelity benchmarks
- Lead cross-functional teams to integrate quantum computing solutions into enterprise AI frameworks
- Research and validate quantum supremacy applications in neural network training
- Optimize quantum algorithms for real-time AI inference in production environments
- Collaborate with quantum hardware teams to co-design next-generation processors
- Publish peer-reviewed research in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Expertise in quantum programming languages (Q#, Quil, or Cirq)
- Proven track record implementing quantum machine learning algorithms
- Deep understanding of quantum error correction and fault-tolerant systems
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum cloud platforms (IBM Q, Rigetti, D-Wave)
- Strong background in theoretical computer science and linear algebra
- Published research in quantum computing or AI (IEEE Nature, etc.)