Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum computing systems. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that merge quantum mechanics with machine learning to solve previously unsolvable computational challenges. Our multidisciplinary team operates in a state-of-the-art facility in San Francisco's innovation district, where you'll collaborate with Nobel laureates and industry disruptors. We offer comprehensive benefits including equity grants, flexible work arrangements, and dedicated research budgets for conference participation and patent development.
Responsibilities
- Design and implement quantum machine learning frameworks for complex optimization problems
- Develop hybrid quantum-classical algorithms for real-world industrial applications
- Lead cross-functional research initiatives in quantum neural networks and cryptography
- Publish findings in top-tier journals and present at international conferences
- Secure research grants and patents for novel quantum AI methodologies
- Mentor junior researchers and contribute to open-source quantum AI libraries
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years experience with quantum programming languages (Qiskit, Cirq) or frameworks
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate theoretical concepts into practical implementations