Job Description
Join Nexus Quantum Labs at the forefront of technological evolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries in cryptography, materials science, and climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources including 1000-qubit quantum processors and dedicated AI supercomputing clusters. Collaborate with Nobel laureates and disrupt traditional paradigms while shaping the digital future.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for 2026-scale applications
- Develop novel error correction techniques for fault-tolerant quantum systems
- Lead cross-functional teams in prototyping quantum neural networks
- Author breakthrough publications in Nature/Science journals
- Secure $5M+ in DARPA/NSF grants for quantum-AI initiatives
- Architect quantum cloud infrastructure supporting 1M+ qubits
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Published work in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency in Python, TensorFlow, and high-performance computing
- Experience with quantum hardware (IBM, IonQ, Rigetti)
- Deep understanding of quantum machine learning algorithms
- Track record of securing competitive research funding
- Strong background in linear algebra and quantum mechanics