Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine human-machine interaction. As a pioneer in our Austin innovation hub, you'll develop hybrid quantum-neural networks while collaborating with Nobel laureates and industry disruptors. This isn't just a role—it's your chance to build the digital backbone of tomorrow's society.
We offer unparalleled resources including access to quantum computing clusters, generative AI sandboxes, and a $10M R&D budget. Our campus features biometric-optimized workspaces and neurofeedback-enhanced collaboration pods. If you thrive at the intersection of theoretical physics and applied machine learning, this is where your legacy begins.
Responsibilities
- Architect hybrid quantum-AI systems for real-time predictive modeling in healthcare and climate science
- Lead development of neural-symbolic integration frameworks for explainable AI decision engines
- Design neuro-quantum interfaces for brain-computer symbiosis applications
- Optimize quantum algorithms for error correction in distributed ledger networks
- Mentor cross-disciplinary teams in quantum machine learning methodologies
- Pioneer ethical frameworks for autonomous quantum AI governance
- Secure patents for breakthroughs in quantum-entangled neural networks
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Neuroscience
- 5+ years developing production-level quantum algorithms or neural-symbolic systems
- Expertise in Qiskit, TensorFlow Quantum, and D-Wave Ocean SDK
- Published research in Nature/Science on quantum-AI convergence topics
- Proficiency in topological quantum error correction techniques
- Experience with neuromorphic computing architectures (Loihi, SpiNNaker)
- Deep understanding of quantum decoherence mitigation strategies
- Portfolio demonstrating at least 3 quantum-AI proof-of-concept deployments