Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering autonomous systems that will redefine human-machine interaction. As an AI Research Engineer, you'll architect intelligent solutions that learn, adapt, and evolve in real-time. Our Austin lab is where tomorrow's breakthroughs become today's reality. Work alongside Nobel laureates and disruptors building the future of AI. We offer competitive equity packages, unlimited R&D budgets, and a culture where your most audacious ideas become reality.
Responsibilities
- Design and implement cutting-edge AI models for autonomous decision-making systems
- Lead research in neural network optimization for edge computing applications
- Collaborate with quantum computing teams to develop hybrid AI architectures
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML)
- Mentor junior researchers while maintaining hands-on technical leadership
- Translate theoretical breakthroughs into scalable production systems
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed training
- Published research in reinforcement learning or unsupervised learning
- Proficiency in high-performance computing and GPU optimization
- Track record of shipping production AI systems at scale
- Strong background in ethics and safety for autonomous systems