Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering hybrid quantum neural networks that will redefine computational boundaries. As a Research Scientist, you'll architect next-gen algorithms merging quantum coherence with machine learning, transforming industries from drug discovery to climate modeling. Our state-of-the-art San Francisco lab offers unparalleled resources and a culture where theoretical physics meets practical innovation.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Lead cross-functional teams in deploying quantum solutions to real-world challenges
- Publish breakthrough research in top-tier quantum computing journals
- Collaborate with hardware engineers to optimize quantum processor architectures
- Secure competitive grants from NSF, DARPA, and industry partners
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
- Proven track record of publishing in Nature/Science journals
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with superconducting or photonic quantum systems
- Strong background in tensor networks and quantum information theory