Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution as we pioneer next-generation AI systems. Our Austin-based innovation hub seeks visionary researchers to develop transformative solutions in quantum computing and neural networks. Enjoy cutting-edge facilities, collaborative cross-functional teams, and competitive benefits while shaping the future of artificial intelligence.
Responsibilities
- Design and implement advanced machine learning algorithms for quantum-entangled data processing
- Lead research initiatives in neuromorphic computing and autonomous systems
- Collaborate with hardware engineers to optimize AI-quantum hybrid architectures
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation sprints
- Secure federal and private research grants for emerging AI applications
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proven track record of publishing in Nature/Science journals
- Strong proficiency in Python, TensorFlow, and PyTorch
- Experience with large-scale distributed computing systems
- Knowledge of ethical AI governance frameworks
- Ability to translate complex research into commercial applications