Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's grandest challenges. This role offers unparalleled opportunity to shape the next generation of computational intelligence while working with Nobel laureates and industry disruptors in our state-of-the-art downtown San Francisco lab.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional R&D teams in developing AI-quantum integration frameworks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with government agencies on post-quantum cryptography standards
- Secure patents for novel quantum-AI hybrid methodologies
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent research experience)
- 3+ years experience with quantum programming languages (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Expertise in tensor networks and quantum machine learning
- Proficiency in Python, TensorFlow, and quantum circuit design
- Demonstrated ability to secure $1M+ research grants