Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation neural networks and quantum-optimized algorithms that will redefine human-machine interaction. You'll collaborate with Nobel laureates and disrupt industries in healthcare, climate modeling, and autonomous systems. Our Austin Innovation Hub offers unparalleled resources including a 10,000-qubit quantum computing lab and $50M annual R&D budget. Shape the future where AI solves humanity's grandest challenges.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional teams in developing quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals (NeurIPS, Nature AI)
- Translate theoretical models into production-ready solutions with 99.99% accuracy
- Collaborate with UN SDG task forces on AI-for-good initiatives
- Mentor PhD candidates and patent 5+ novel algorithms annually
Qualifications
- PhD in Computer Science, Mathematics, or Physics from Tier-1 institution
- 5+ years publishing in top AI/quantum research venues
- Expertise in transformer architectures and quantum machine learning
- Proficiency in PyTorch, TensorFlow, and Qiskit frameworks
- Proven track record of deploying ML systems at scale (>1B users)
- Strong background in computational complexity theory
- Experience with neuromorphic computing and photonic AI