Job Description
Join NeuroSynth Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As the 2026 Quantum AI Research Lead, you'll architect breakthrough solutions that redefine human-machine collaboration. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into reality. We're seeking visionary minds to shape the computational landscape of tomorrow.
Benefits include: Cutting-edge R&D budget, flexible hybrid work, comprehensive health coverage, and stock options in a pre-IPO growth stage company.
Responsibilities
- Lead cross-functional teams in developing quantum-AI integration frameworks
- Architect next-gen neural networks leveraging quantum computing principles
- Publish breakthrough research in top-tier journals/conferences (Nature, NeurIPS)
- Secure $5M+ in federal/state research grants for 2026 initiatives
- Mentor PhD candidates and postdocs in quantum machine learning
- Collaborate with DARPA and NSF on national tech roadmap alignment
- Translate theoretical models into prototype systems with 99.9% fidelity
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years in quantum machine learning research
- Published 10+ peer-reviewed papers in quantum/AI domains
- Expertise in quantum error correction and NISQ algorithms
- Proven track record securing $1M+ in research funding
- Proficiency in Qiskit, Cirq, and PyTorch Quantum
- Experience leading teams of 10+ researchers
- Clearance for DoD/NASA collaborative projects preferred