Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer AI systems for 2026. We seek a visionary AI Research Lead to architect next-generation neural networks that will redefine human-machine interaction. In this pivotal role, you'll lead cross-disciplinary teams to develop autonomous learning systems while pushing the boundaries of quantum-computing integration. Our Austin hub offers unparalleled resources for groundbreaking research in a collaborative, future-focused environment.
Responsibilities
- Architect and deploy adaptive AI frameworks for 2026-era applications
- Lead quantum-enhanced machine learning model development
- Mentor researchers in emerging AI paradigms
- Collaborate with hardware teams on neuromorphic computing integration
- Present breakthrough findings at global tech symposiums
- Secure federal grants for next-gen AI initiatives
- Publish research in Nature AI and IEEE journals
Qualifications
- PhD in Machine Learning or Quantum Computing with 8+ years experience
- Published 15+ peer-reviewed papers on advanced neural networks
- Expertise in quantum algorithm development (Qiskit/IBM Experience)
- Proven track record of leading $5M+ research projects
- Fluency in PyTorch/TensorFlow with quantum extensions
- Patents in autonomous learning systems
- Experience with neuromorphic hardware (Loihi/Intel)
- Security clearance for federal collaboration