Job Description
Join QuantumLeap Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation computational paradigms that will redefine industries by 2026. As a core member of our elite research team, you'll architect quantum-resistant AI models and develop breakthrough algorithms for real-world applications.
This role offers unparalleled resources to explore uncharted territories in quantum machine learning, with access to our state-of-the-art 256-qubit processors and $50M research budget. Collaborate with Nobel laureates and contribute to patents that will shape the next decade of technology.
Responsibilities
- Design and implement quantum-entangled neural networks for 2026-era AI systems
- Develop novel error correction protocols for quantum computing stacks
- Lead cross-functional teams to prototype quantum-AI hybrid solutions
- Author peer-reviewed publications on quantum machine learning breakthroughs
- Secure $2M+ in research grants for 2026 quantum initiatives
- Mentor PhD candidates in quantum information science
- Architect quantum-resistant encryption standards for AI systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (2020-2025)
- Expertise in quantum algorithms and quantum circuit design
- Published research in top-tier journals (Nature/Science/IEEE)
- Proficiency in Qiskit, Cirq, and quantum simulation frameworks
- 5+ years experience in AI/ML with PyTorch/TensorFlow
- Track record of commercializing quantum technologies
- Deep understanding of quantum decoherence mitigation
- Experience securing government research funding