Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration for next-generation computing systems. We seek visionary researchers to develop groundbreaking algorithms that bridge quantum mechanics and artificial intelligence, solving previously unsolvable problems in cryptography, materials science, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for collaborative innovation with industry-leading experts.
Responsibilities
- Design and implement quantum machine learning models for complex data analysis
- Develop novel hybrid quantum-classical algorithms for real-world applications
- Lead cross-functional research initiatives in quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI system performance
- Publish breakthrough research in top-tier scientific journals and conferences
- Secure and manage research partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in Python, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or AI optimization
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing and distributed systems
- Proven ability to translate complex theories into practical solutions