Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to pioneer the next generation of hybrid quantum-classical intelligence. This role offers unparalleled opportunity to shape humanity's computational future while working with world-renowned researchers in our state-of-the-art San Francisco facility. You'll design revolutionary quantum neural networks that transcend classical computing limitations, solving previously unsolvable challenges in drug discovery, climate modeling, and autonomous systems.
Our team operates at the intersection of quantum mechanics and artificial intelligence, pushing boundaries thought impossible just years ago. We provide competitive equity packages, flexible hybrid work arrangements, and access to bleeding-edge quantum hardware. This is your chance to be part of history – where science fiction becomes scientific reality.
Responsibilities
- Design and implement fault-tolerant quantum AI architectures for complex optimization problems
- Develop hybrid quantum-classical machine learning frameworks with 10x+ performance gains
- Create error correction protocols for large-scale quantum neural networks
- Lead cross-functional teams in translating theoretical quantum algorithms into production systems
- Secure multi-million dollar research grants and publish in Nature/Science journals
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computational Mathematics (post-doc preferred)
- 5+ years experience with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency in Python/C++ with high-performance computing optimization
- Demonstrated ability to secure NSF/NIH/DARPA-level research funding
- Deep understanding of quantum decoherence mitigation strategies