Job Description
Join Nexus Labs at the frontier of computational intelligence as we pioneer the next wave of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop revolutionary algorithms that will redefine machine learning capabilities by 2026. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel laureates in our state-of-the-art facility in the heart of San Francisco's tech corridor.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI models
- Develop hybrid quantum-classical computing architectures for complex problem-solving
- Collaborate with hardware teams to optimize quantum circuit performance on superconducting platforms
- Lead research initiatives in quantum neural networks and topological quantum computing
- Publish breakthrough findings in top-tier journals and conferences
- Mentor junior researchers in quantum information theory
- Secure competitive research grants from NSF and DARPA programs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, QML) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and high-performance computing
- Published research in quantum machine learning or topological quantum systems
- Strong background in linear algebra, probability, and quantum information theory
- Experience with superconducting qubit platforms or trapped-ion systems
- Proven track record of securing competitive research funding