Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems targeting breakthrough applications by 2026. We're seeking visionary researchers to develop scalable quantum algorithms that will redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit processors and dedicated GPU clusters. This role offers unique opportunities to publish in Nature/Science journals and contribute to patents that will shape humanity's technological trajectory.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Lead cross-functional teams in prototyping quantum-AI integration frameworks
- Develop error mitigation strategies for near-term quantum processors
- Collaborate with academic partners on 2026 technology roadmapping
- Author peer-reviewed publications and patent disclosures
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 2+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to translate theoretical models into experimental prototypes