Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum AI systems. As the 2026 Quantum AI Research Lead, you'll architect breakthrough solutions that redefine computational boundaries. Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources to transform theoretical concepts into reality. This role combines visionary leadership with hands-on research innovation, driving projects that will shape humanity's digital future. We offer competitive equity packages, flexible work arrangements, and exposure to cutting-edge quantum computing infrastructure.
Responsibilities
- Lead cross-functional teams in developing quantum AI algorithms for 2026-era applications
- Design and implement hybrid quantum-classical neural network architectures
- Collaborate with hardware teams to optimize quantum coherence in real-world environments
- Secure $5M+ in research grants through compelling technical proposals
- Pioneer ethical frameworks for quantum AI deployment in critical infrastructure
- Mentor next-generation researchers in quantum machine learning methodologies
- Publish findings in top-tier journals and industry white papers
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years leading research teams in quantum machine learning
- Published work in Nature/Science or equivalent quantum AI research
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Demonstrated success securing government or corporate research funding
- Deep understanding of quantum supremacy benchmarks and NISQ-era limitations