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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we architect the digital landscape of 2026. We seek a visionary strategist to navigate emerging paradigms in quantum computing, AI ethics, and sustainable tech infrastructure. This role bridges cutting-edge research with market implementation, requiring a blend of technical acumen and foresight to shape our 5-year innovation roadmap.

What you'll achieve: Lead cross-disciplinary initiatives to future-proof our ecosystem, develop patent-pending frameworks for next-gen tech integration, and establish industry benchmarks for ethical AI deployment.

Responsibilities

  • Architect strategic roadmaps for quantum-AI hybrid systems by 2026
  • Lead cross-functional teams in prototyping sustainable tech solutions
  • Conduct horizon scanning for disruptive technologies (neuromorphic computing, synthetic biology)
  • Develop governance frameworks for autonomous system ethical deployment
  • Present future-state scenarios to C-suite and board stakeholders
  • Partner with academic institutions to establish 2026 tech research consortia
  • Quantify ROI for emerging tech investments using predictive modeling

Qualifications

  • 10+ years in strategic technology planning or R&D leadership
  • PhD or equivalent in Computer Science/Engineering with futures studies focus
  • Published research in quantum computing or AI ethics (IEEE/ACM)
  • Proven track record in scaling tech innovations from concept to market
  • Expertise in scenario planning and technology forecasting methodologies
  • Certification in emerging tech governance (e.g., IEEE Ethically Aligned Design)
  • Experience with federal tech policy development (e.g., NIST frameworks)

Required Skills

Strategic Foresight Quantum Computing AI Ethics Sustainable Tech Scenario Planning Technology Governance R&D Leadership Predictive Modeling

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