Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we shape 2026's digital landscape. We seek an AI Futurist to architect next-generation solutions that redefine human-machine collaboration. This pivotal role bridges cutting-edge research with practical implementation, driving innovation in quantum computing, neural interfaces, and autonomous systems. You'll lead a multidisciplinary team in developing ethical AI frameworks while translating complex concepts into market-ready solutions. Our Austin hub offers unparalleled resources to transform visionary ideas into reality, with access to our $500M R&D lab and industry partnerships spanning Fortune 500 companies.
As a thought leader, you'll represent QuantumLeap at global tech summits and publish whitepapers that influence industry standards. We provide comprehensive benefits including equity packages, unlimited learning stipends, and flexible work arrangements designed to maximize creative potential. This isn't just a job—it's your chance to build the future.
Responsibilities
- Architect AI roadmaps for 2026+ applications in quantum computing and neural interfaces
- Lead cross-functional teams in developing ethical AI frameworks and governance protocols
- Translate theoretical research into production-ready systems using PyTorch and TensorFlow
- Collaborate with MIT and Stanford researchers on next-gen autonomous systems
- Present findings at global tech summits and publish in Nature/Science journals
- Mentor junior researchers while maintaining hands-on technical expertise
- Drive innovation sprints using agile methodologies with bi-weekly deliverables
- Secure $5M+ in annual R&D funding through compelling business cases
Qualifications
- PhD in Computer Science/AI with 5+ years industry experience or equivalent breakthrough contributions
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in quantum machine learning and neuromorphic computing architectures
- Proven track record of deploying large-scale AI systems serving 10M+ users
- Deep understanding of ethical AI frameworks (EU AI Act, NIST guidelines)
- Experience securing federal grants (DARPA, NSF) or corporate R&D funding
- Strong Python/C++ proficiency with distributed computing frameworks
- Ability to communicate complex concepts to C-suite executives and policymakers