Job Description
Join the frontier of 2026's technological revolution at QuantumLeap Dynamics! We're seeking a visionary AI Research Scientist to architect next-generation neural networks and quantum-computing hybrid systems. In this role, you'll pioneer breakthroughs in autonomous decision-making and generative AI that will redefine industries worldwide.
Our Austin-based innovation hub combines cutting-edge labs with a startup ethos. You'll collaborate with Nobel laureates and NASA engineers to translate theoretical models into real-world applications. This is your chance to shape the AI landscape for the next decade while enjoying Texas's vibrant tech culture and unmatched work-life balance.
We offer equity, unlimited PTO, and relocation assistance. Help us build the future today.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead quantum-AI hybrid model development using D-Wave and IBM Quantum systems
- Publish breakthrough research in Nature/Science journals and top-tier AI conferences
- Mentor cross-functional teams in neural network optimization and ethical AI deployment
- Develop patent-pending algorithms for real-time predictive analytics at scale
- Collaborate with MIT and Stanford on next-gen AI safety frameworks
- Architect cloud-native ML pipelines processing petabyte-scale datasets
Qualifications
- PhD in Computer Science/AI with 5+ years of quantum computing research
- Published 15+ papers in NeurIPS/ICML/CVPR with 1000+ citations
- Expertise in TensorFlow Quantum, Cirq, and quantum machine learning frameworks
- Proven track record of deploying production-level AI systems at FAANG scale
- Deep understanding of transformer architectures and diffusion models
- Strong background in ethical AI bias mitigation and explainability (XAI)
- Experience with federated learning and edge-AI deployment strategies
- Fluency in Python, Rust, and quantum assembly languages