Job Description
Join Nexus 2026 Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation systems that will redefine industries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where groundbreaking ideas become reality.
Responsibilities
- Develop hybrid quantum-classical algorithms for AI optimization
- Design fault-tolerant quantum computing architectures for 2026 deployment
- Lead cross-functional teams in prototyping quantum machine learning models
- Research and implement error correction protocols for quantum neural networks
- Collaborate with MIT and Caltech on quantum-AI convergence projects
- Secure $50M+ in research grants for experimental quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or related field (5+ years experience)
- Published research in Nature/Science on quantum machine learning
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Expertise in quantum error correction and decoherence mitigation
- Track record of leading $10M+ R&D projects
- Patents in quantum-AI integration (minimum 3 granted)