Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and machine learning. This role offers unparalleled opportunities to shape the future of computational intelligence while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco campus. Enjoy competitive equity packages, flexible research budgets, and the chance to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop novel error-correction techniques for quantum neural networks
- Translate theoretical quantum models into practical industry applications
- Collaborate with hardware teams to optimize quantum circuit architectures
- Publish peer-reviewed research and present at major conferences
- Mentor junior researchers and drive quantum computing education initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong foundation in linear algebra, probability, and information theory
- Demonstrated ability to publish in Nature/Science or top-tier ML conferences
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Expertise in Python and high-performance computing frameworks
- Track record of translating theoretical concepts into scalable solutions