Job Description
Join QuantumLeap Dynamics at the forefront of technological revolution. We're seeking an AI Research Scientist to pioneer breakthroughs in quantum machine learning and autonomous systems. As a key innovator in our Austin R&D hub, you'll collaborate with Nobel laureates and industry disruptors to develop scalable AI solutions that redefine human-machine interaction. Our state-of-the-art lab offers unparalleled resources for experimentation, while our startup culture rewards bold thinking and rapid prototyping. This isn't just a job—it's your chance to shape the digital frontier.
We provide competitive compensation, equity packages, and flexible work arrangements. Relocation assistance available for exceptional candidates. Your work will directly impact Fortune 500 partners and emerging startups alike.
Responsibilities
- Design and implement novel quantum neural network architectures for next-generation AI systems
- Lead cross-functional research initiatives combining quantum computing, edge AI, and human-computer interaction
- Develop patent-pending algorithms for real-time autonomous decision-making frameworks
- Collaborate with MIT and Stanford on federally funded AI ethics and safety projects
- Mentor PhD researchers and publish findings in Nature/Science journals
- Translate theoretical models into production-ready solutions using AWS Quantum Services
- Architect AI systems with <10ms latency for critical infrastructure applications
Qualifications
- PhD in Computer Science, Quantum Physics, or equivalent with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq) and hybrid quantum-classical models
- Proven track record of deploying production AI systems at scale (Kubernetes, TensorFlow Quantum)
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Published research in top-tier AI/quantum journals with >100 citations
- Strong Python/C++ proficiency with experience in high-performance computing environments
- Experience securing DARPA/NASA research grants or equivalent funding