Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. This role offers unparalleled access to our 128-qubit quantum processor and collaborative partnerships with MIT and Stanford's quantum research initiatives.
Our state-of-the-art facility in San Francisco's innovation hub provides an environment where your breakthroughs in quantum machine learning, error correction, and quantum neural networks will directly impact fields from drug discovery to climate modeling. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated research budgets for conference participation and academic publishing.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Lead experimental validation on quantum hardware simulators and real quantum processors
- Collaborate with hardware teams to mitigate quantum decoherence effects
- Author peer-reviewed research papers and patents
- Mentor junior researchers in quantum computational theory
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Physics, Computer Science, or Mathematics with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published work in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction protocols
- Experience with quantum circuit optimization and compilation
- Strong background in linear algebra and statistical mechanics