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Future Tech Innovation Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution. We're seeking a visionary Future Tech Innovation Lead to architect breakthrough solutions for 2026 and beyond. This role combines strategic foresight with hands-on prototyping in emerging fields like quantum computing, neuromorphic AI, and sustainable tech infrastructure. You'll collaborate with MIT-caliber researchers to transform theoretical concepts into market-ready innovations, while mentoring next-generation engineers in our Austin R&D hub. Enjoy competitive equity, flexible work arrangements, and the opportunity to shape humanity's technological trajectory.

Responsibilities

  • Lead cross-functional R&D teams in developing next-gen prototypes (quantum algorithms, bio-integrated systems, etc.)
  • Conduct horizon scanning and trend analysis to identify emerging technologies with 2026 commercial potential
  • Secure and manage partnerships with academic institutions and government innovation labs
  • Develop patent portfolios for novel IP in quantum-secure communications and AI ethics frameworks
  • Mentor engineers in rapid prototyping methodologies for unproven technologies
  • Present technical roadmaps to C-suite and venture capital stakeholders
  • Oversee compliance with emerging tech regulatory landscapes (AI governance, quantum export controls)

Qualifications

  • PhD in Computer Science, Quantum Engineering, or related field (or equivalent industry breakthroughs)
  • 5+ years leading R&D initiatives in exponential technology domains
  • Published research in Nature/Science or top-tier conference proceedings
  • Expertise in at least one emerging tech stack (quantum programming, neuromorphic hardware, etc.)
  • Proven track record of launching 3+ tech products from concept to market
  • Deep understanding of technology convergence patterns and S-curves
  • Strong network within DARPA, NSF, or equivalent innovation ecosystems
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)

Required Skills

Quantum Computing Neuromorphic AI Technology Forecasting Patent Strategy Quantum-Security Protocols AI Ethics Sustainable Tech R&D Management

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