Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop breakthrough algorithms that will redefine computational capabilities by 2026. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and cognitive computing, solving challenges previously deemed impossible. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay, with resources including 128-qubit quantum processors and exascale computing clusters. This role offers unparalleled opportunities to shape humanity's technological future while receiving competitive compensation and equity.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical frameworks for real-world AI applications
- Lead cross-functional teams in prototyping quantum neural networks
- Research error correction techniques for scalable quantum computing
- Collaborate with hardware teams to optimize quantum-AI co-design
- Publish findings in leading journals and present at global conferences
- Secure research grants and partnerships with academic institutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in Python, Qiskit, and quantum circuit optimization
- Published research in quantum computing or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with high-performance computing frameworks (HPC, CUDA)
- Proven ability to translate theoretical concepts into practical implementations