Job Description
Join Nexus Labs at the forefront of quantum-AI convergence in 2026. We're seeking visionary researchers to pioneer next-generation quantum neural networks that will redefine computational boundaries. Our state-of-the-art facility in San Francisco houses the world's most advanced quantum processors, and we offer unparalleled resources to transform theoretical breakthroughs into real-world applications.
This role is part of our Quantum Leap Initiative, where you'll collaborate with Nobel laureates and industry pioneers to develop quantum algorithms capable of solving previously insurmountable challenges in drug discovery, climate modeling, and materials science.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI systems
- Lead cross-functional teams in developing error-corrected quantum processors
- Develop novel quantum algorithms for machine learning optimization
- Collaborate with biochemists to simulate molecular interactions at quantum scale
- Publish breakthrough research in top-tier journals and conferences
- Secure $10M+ in government and private quantum research grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum circuit design
- Expertise in Python, Qiskit, and quantum machine learning frameworks
- Publication record in Nature/Science or IEEE Quantum journals
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing clusters
- Strong background in tensor networks and quantum information theory