Job Description
Join NexusLabs at the forefront of 2026's quantum-AI revolution. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms, collaborate with Nobel laureates, and publish breakthrough papers in top-tier journals. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical physics into practical applications.
Responsibilities
- Design and implement quantum machine learning models for real-world optimization problems
- Develop error-correction protocols for fault-tolerant quantum processors
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Secure $1M+ in research grants for 2026 quantum initiatives
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Mentor PhD candidates in quantum computing fundamentals
- Collaborate with NASA/IBM on quantum-resistant cryptography projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in Qiskit, Cirq, or quantum programming frameworks
- Published research in quantum machine learning or quantum algorithms
- Experience with superconducting qubit architectures or photonic systems
- Strong background in linear algebra, quantum mechanics, and information theory
- Track record of securing government or industry research funding
- Expertise in Python/C++ with high-performance computing optimization