Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the 2026 quantum-AI frontier. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine computing paradigms. This role sits at the intersection of quantum mechanics, artificial intelligence, and predictive analytics, requiring both theoretical brilliance and hands-on implementation prowess. You'll lead cross-functional teams in developing fault-tolerant quantum algorithms and deployable AI models that solve previously unsolvable challenges in healthcare, logistics, and climate modeling.
Our state-of-the-art lab in San Francisco offers unparalleled resources, including quantum annealing clusters and neuromorphic computing arrays. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated R&D time for experimental projects. If you're passionate about building the technological backbone of 2026, this is your opportunity to make history.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
- Develop quantum machine learning algorithms achieving exponential speedups over classical systems
- Lead R&D initiatives in quantum error correction and fault-tolerant computing
- Create predictive models for quantum hardware optimization and AI system scaling
- Collaborate with academic partners to publish breakthrough research in Nature/Science journals
- Mentor junior quantum engineers in cutting-edge algorithm development
- Secure patents for novel quantum-AI methodologies and system designs
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 5+ years experience in quantum algorithm design or advanced AI system architecture
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (TensorFlow Quantum, PennyLane)
- Published research in quantum machine learning or top-tier AI conferences
- Expertise in high-performance computing and distributed quantum systems
- Strong background in complex mathematical optimization and linear algebra
- Proven track record of shipping production-level quantum-AI prototypes