Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI convergence. We seek a visionary 2026 Quantum AI Architect to design and implement groundbreaking systems that will redefine computational boundaries. This pivotal role demands a blend of theoretical mastery and practical innovation, where you'll lead initiatives spanning quantum machine learning, neural-network optimization, and predictive modeling for autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for research and development, with competitive compensation packages including equity and cutting-edge benefits.
Responsibilities
- Architect scalable quantum-AI frameworks for 2026-era computational challenges
- Lead cross-disciplinary teams in developing hybrid quantum-classical algorithms
- Design fault-tolerant quantum neural networks with 10+ qubit coherence
- Implement predictive models for autonomous system optimization
- Establish ethical governance protocols for quantum-AI decision-making
- Drive innovation through rapid prototyping and simulation environments
- Collaborate with academic partners on next-gen quantum computing standards
Qualifications
- PhD in Quantum Computing, AI, or Theoretical Physics (or equivalent experience)
- 5+ years developing production-level quantum machine learning systems
- Expertise in quantum circuit design and error correction methodologies
- Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
- Published research in top-tier quantum/AI journals/conferences
- Strong background in high-performance distributed computing
- Experience leading technical teams in agile research environments