Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next wave of computational breakthroughs. We're seeking an visionary AI & Quantum Computing Research Lead to architect transformative solutions that will redefine industries by 2026. In this pivotal role, you'll drive cross-functional teams to develop hybrid AI-quantum algorithms, optimize machine learning models for quantum acceleration, and secure our position as the global leader in next-gen computing.
Our Austin-based innovation hub offers unparalleled resources and a culture where bold ideas flourish. You'll collaborate with Nobel laureates, publish groundbreaking research, and directly shape the future of artificial intelligence and quantum mechanics. This isn't just a job—it's your chance to build the technological foundation for tomorrow.
Responsibilities
- Lead research in hybrid AI-quantum computing architectures and algorithm development
- Design and implement machine learning models optimized for quantum hardware acceleration
- Oversee quantum-resistant cryptography implementations for secure AI systems
- Drive innovation in quantum neural networks and probabilistic computing paradigms
- Publish peer-reviewed research and secure patents in quantum-AI integration
- Mentor cross-functional teams of physicists, data scientists, and engineers
- Establish strategic partnerships with quantum hardware manufacturers and academic institutions
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 8+ years of research experience
- Proven track record in developing quantum algorithms and AI model optimization
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Strong background in quantum-resistant cryptography and post-quantum security
- Published research in top-tier journals (Nature, Science, IEEE) or major conferences
- Experience leading R&D teams with $10M+ project budgets
- Deep understanding of quantum hardware limitations and error correction techniques