Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution. We're seeking a visionary AI Futurist Lead to architect the next generation of intelligent systems that will reshape industries. As a key architect of our innovation roadmap, you'll pioneer breakthrough solutions at the intersection of quantum computing, neural networks, and human-AI symbiosis. This role demands a blend of technical mastery and strategic foresight to transform theoretical possibilities into scalable realities.
Our Austin hub offers unparalleled resources including a $50M R&D lab and partnerships with MIT and Stanford. You'll collaborate with Nobel laureates and disrupt traditional paradigms in AI ethics, autonomous systems, and predictive analytics. This isn't just a job—it's your chance to define how humanity interfaces with superintelligence by 2026.
Responsibilities
- Architect AI roadmaps targeting 2026 breakthroughs in quantum neural interfaces
- Lead cross-disciplinary teams developing ethical AI frameworks for autonomous decision systems
- Pioneer predictive analytics models for climate change and resource optimization
- Establish industry partnerships with quantum computing pioneers (IBM, Google, Rigetti)
- Author thought leadership papers on AI's societal impact for Nature and Science journals
- Oversee implementation of generative AI systems replacing 40% of traditional workflows
- Drive innovation sprints with DARPA and NASA for next-gen space AI applications
Qualifications
- PhD in Computer Science, Quantum Physics, or Cognitive Neuroscience with 8+ years
- Published research in top-tier AI/quantum journals (NeurIPS, Science, Nature)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record scaling AI systems to handle 10M+ daily autonomous decisions
- Deep understanding of EU AI Act, NIST AI RMF, and ethical AI governance
- Experience with neuromorphic computing (Intel Loihi, IBM TrueNorth)
- Fluency in Python, TensorFlow Quantum, and distributed ML systems