Job Description
Join 2026 Quantum Dynamics at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing and artificial intelligence that will redefine humanity's future. As our Lead AI Researcher, you'll architect next-gen neural networks and collaborate with Nobel laureates in our state-of-the-art San Francisco lab. Enjoy unparalleled benefits including equity, flexible work arrangements, and dedicated R&D funding.
Responsibilities
- Design and implement advanced machine learning models for quantum computing optimization
- Lead cross-disciplinary teams of physicists and software engineers
- Develop patent-pending algorithms for AI-driven quantum error correction
- Present breakthrough findings at global tech summits and publish in Nature
- Drive strategic partnerships with quantum hardware manufacturers
- Mentor PhD researchers and shape the 2026 innovation roadmap
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- 5+ years in AI research with publications at NeurIPS/ICML
- Expertise in quantum machine learning frameworks (Qiskit, PennyLane)
- Proficiency in Python, TensorFlow, and quantum circuit simulation
- Proven track record of translating research into commercial applications
- Strong background in quantum information theory
- Experience securing $1M+ in government/industry research grants