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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join QuantumLeap Innovations as we architect the technological landscape of 2026. We're seeking a visionary 2026 Technology Futurist to lead our R&D division in developing next-gen solutions that will redefine industries. This pivotal role combines strategic foresight with hands-on innovation to bridge today's capabilities with tomorrow's demands.

Our Austin-based headquarters offers a cutting-edge workspace where you'll collaborate with Nobel laureates, industry disruptors, and patent-holding engineers. Enjoy comprehensive benefits including equity participation, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Lead cross-functional teams in developing 2026-ready AI/ML frameworks and quantum computing applications
  • Conduct horizon scanning to identify emerging technologies with 5-7 year commercialization potential
  • Architect strategic roadmaps for sustainable tech integration in Fortune 500 partnerships
  • Secure $15M+ annual R&D funding through federal grants and private investment channels
  • Present futuristic technology blueprints to C-suite executives and congressional committees
  • Drive innovation through patent development (target: 5+ annually) and academic publications

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 8+ years R&D leadership
  • Proven track record of commercializing futuristic technologies (quantum/AI/biotech)
  • Expertise in technology forecasting methodologies and scenario planning frameworks
  • Strong network in DARPA, NSF, and venture capital ecosystems
  • Published author in IEEE Nature or similar high-impact journals
  • Security clearance eligibility or current active clearance
  • Fluency in 3+ programming languages (Python, C++, Rust)

Required Skills

Quantum Computing Artificial Intelligence Technology Forecasting R&D Strategy Patent Development Scenario Planning Federal Funding Machine Learning

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