Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we shape the future of 2026. We're seeking a visionary AI Futurist to architect our next-gen innovation roadmap and lead groundbreaking projects in quantum computing, autonomous systems, and human-AI collaboration. This role bridges cutting-edge research with practical implementation, requiring strategic foresight and technical excellence.
As part of our elite R&D division, you'll collaborate with Nobel laureates and industry pioneers to develop solutions that will redefine how humanity interacts with technology. Our Austin hub offers a dynamic environment where innovation thrives, complemented by competitive benefits including equity participation in our moonshot ventures.
Responsibilities
- Architect 2026 technology roadmap focusing on AI ethics, quantum machine learning, and neural interfaces
- Lead cross-functional teams in developing prototype systems for autonomous decision-making frameworks
- Establish partnerships with academic institutions and national labs for emerging tech research
- Translate complex technical concepts into actionable business strategies for C-suite stakeholders
- Drive innovation sprints to prototype next-gen human-AI collaborative interfaces
- Monitor global tech trends and regulatory shifts affecting 2026 tech landscape
- Develop patent portfolios for breakthrough AI methodologies and quantum computing applications
Qualifications
- PhD in Computer Science, AI, or related field with 8+ years of applied research experience
- Proven track record in deploying production AI systems at scale (GPT-4 level or equivalent)
- Deep expertise in quantum computing architectures and quantum machine learning algorithms
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR) or equivalent industry impact
- Experience with regulatory frameworks governing AI deployment (EU AI Act, US AI Bill of Rights)
- Strong background in human-computer interaction and cognitive science principles
- Ability to communicate complex technical concepts to non-technical stakeholders
- Portfolio demonstrating work on ethical AI frameworks and bias mitigation systems