Job Description
Join QuantumLeap Dynamics at the forefront of 2026 innovation as we pioneer the next generation of quantum-AI convergence. This role offers an unparalleled opportunity to shape humanity's technological future in our state-of-the-art San Francisco R&D hub. We're seeking visionary researchers to develop breakthrough solutions that will redefine computational boundaries and accelerate quantum supremacy. Enjoy competitive benefits, flexible work arrangements, and direct access to cutting-edge quantum hardware.
Responsibilities
- Lead quantum algorithm development for AI optimization frameworks
- Design error-corrected quantum circuits for machine learning applications
- Collaborate with cross-functional teams on 2026 quantum computing roadmap
- Publish peer-reviewed research in top-tier quantum/AI journals
- Drive prototype development for quantum neural networks
- Mentor junior researchers in quantum machine learning techniques
- Secure external funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience in quantum algorithm implementation
- Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
- Published research in quantum machine learning or NISQ algorithms
- Deep understanding of quantum error correction methodologies
- Expertise in Python, TensorFlow, and PyTorch
- Strong background in linear algebra and quantum mechanics