Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Architects to pioneer the next generation of hybrid quantum-classical intelligence systems. Shape how humanity interacts with emergent technologies while working in our state-of-the-art San Francisco innovation hub.
This role offers unparalleled opportunity to collaborate with Nobel laureates and redefine computational boundaries. You'll design fault-tolerant quantum neural networks that solve previously impossible challenges in materials science, climate modeling, and personalized medicine.
Responsibilities
- Architect hybrid quantum-classical AI systems for enterprise-scale applications
- Develop error-corrected quantum algorithms leveraging machine learning frameworks
- Lead R&D initiatives in quantum neural network optimization
- Collaborate with hardware teams to co-design quantum computing architectures
- Publish breakthrough research in top-tier quantum AI journals
- Mentor cross-functional teams in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years implementing quantum algorithms on real hardware
- Expertise in TensorFlow Quantum, Qiskit, or Cirq frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and quantum circuit design
- Experience with fault-tolerant quantum error correction techniques