Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that push the boundaries of computational possibility while working in a state-of-the-art facility overlooking the Bay Area skyline.
This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the future of quantum machine learning. Our team operates at the intersection of theoretical physics and applied AI, developing solutions for climate modeling, drug discovery, and cryptographic security.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Lead cross-functional teams in developing quantum neural network architectures
- Author peer-reviewed publications for top-tier scientific journals
- Develop error-correction protocols for quantum machine learning systems
- Collaborate with hardware teams to prototype quantum-classical hybrid models
- Secure $5M+ in research funding through NSF and DARPA proposals
- Mentor PhD candidates and postdoctoral researchers
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of quantum algorithm development experience
- Published work in Nature/Science or IEEE Transactions on Quantum Engineering
- Expertise in Python, Qiskit, and quantum circuit optimization
- Deep understanding of tensor networks and quantum machine learning
- Strong background in linear algebra and quantum information theory
- Proven track record of securing competitive research grants