Job Description
Shape the future with QuantumLeap Labs! We're pioneering AI solutions for 2026 and beyond, seeking visionary researchers to drive breakthroughs in quantum-computing-optimized neural networks. Join our cross-disciplinary team at the intersection of machine learning, quantum physics, and human-computer interaction. Enjoy cutting-edge resources, flexible schedules, and the opportunity to patent transformative AI frameworks that will redefine industries.
Responsibilities
- Develop quantum-resistant ML algorithms for next-gen autonomous systems
- Lead research projects on neuromorphic computing architectures
- Collaborate with quantum hardware engineers to optimize AI-quantum hybrid models
- Publish findings in top-tier AI/quantum journals and conferences
- Mentor junior researchers and contribute to open-source AI frameworks
- Translate theoretical research into scalable production-ready solutions
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- 3+ years in quantum computing or advanced neural network research
- Expertise in Python, TensorFlow/PyTorch, and quantum simulation tools
- Published work in top-tier ML/quantum conferences (NeurIPS, QIP, etc.)
- Strong background in computational complexity theory
- Experience with large-scale distributed computing frameworks
- Ability to secure federal research grants a plus