Job Description
Join NeuroQuantum Dynamics at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer the next generation of neural-quantum hybrid systems. As a key member of our Future Technologies Division, you'll design and implement groundbreaking algorithms that merge quantum computing with artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources for exploring uncharted territories in computational science. This role includes competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation.
Responsibilities
- Develop proprietary quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in building neural-quantum computing prototypes
- Author breakthrough research papers for top-tier scientific journals
- Collaborate with quantum hardware engineers to optimize algorithm performance
- Secure external funding through NSF and DARPA grant applications
- Mentor PhD candidates in emerging quantum AI methodologies
- Present findings at global tech symposums including Web Summit and TED
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years implementing quantum algorithms on IBM/Google quantum processors
- Published research in Nature/Science or top-tier AI conferences
- Expertise in Qiskit, Cirq, and TensorFlow Quantum
- Strong background in tensor networks and quantum error correction
- Proficiency in Python, C++, and quantum assembly languages
- Demonstrated ability to secure $1M+ in research funding