Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As an AI Research Scientist, you'll architect breakthrough solutions for autonomous systems, climate modeling, and next-gen human-computer interfaces. Our Austin hub features state-of-the-art labs and a culture that celebrates bold innovation.
What you'll achieve:
- Develop novel neural architectures for quantum-accelerated machine learning
- Lead cross-disciplinary teams in prototyping 2026-era AI applications
- Secure patents for transformative AI-quantum integration methodologies
- Collaborate with MIT and Stanford on federally funded future-tech initiatives
Responsibilities
- Design and implement quantum-compatible deep learning frameworks
- Lead research on ethical AI governance frameworks for 2026 deployment
- Author white papers for Nature AI and IEEE Quantum Computing journals
- Mentor PhD interns in next-gen AI model optimization techniques
- Secure $2M+ in government grants for future-tech R&D
- Develop benchmark suites for quantum-AI hybrid system performance
- Present findings at global AI summits including NeurIPS 2026
Qualifications
- PhD in Computer Science, Physics, or Mathematics with quantum focus
- 5+ years developing production AI systems (PyTorch/TensorFlow)
- Published research in top-tier AI/quantum venues (NeurIPS, Science)
- Expertise in quantum computing frameworks (Qiskit, Cirq)
- Proven track record of securing federal research grants
- Experience with neuromorphic computing architectures
- Deep knowledge of ethical AI alignment frameworks
- Contributions to open-source quantum-AI libraries