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2026 Technology Futurist

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

Job Description

Join QuantumLeap Innovations at the forefront of tomorrow's digital frontier. We're seeking a visionary 2026 Technology Futurist to architect the next generation of human-AI collaboration. This role bridges quantum computing, biotech convergence, and sustainable tech ecosystems to redefine industries before they emerge. You'll lead cross-disciplinary teams in prototyping solutions for 2030's challenges while shaping our innovation roadmap. Our Austin campus features state-of-the-art labs and a culture that celebrates moonshot thinking.

Responsibilities

  • Lead horizon scanning for emerging technologies with 3-5 year market impact potential
  • Architect integrated systems combining quantum AI, neural interfaces, and decentralized networks
  • Develop ethical frameworks for autonomous systems and cognitive augmentation tools
  • Partner with Fortune 500 clients to future-proof their digital transformation strategies
  • Present at global tech summits and publish thought leadership in Nature Technology
  • Manage $2M+ innovation portfolio for 2026-2028 technology incubation projects
  • Mentor PhD fellows in emerging tech ethics and responsible innovation

Qualifications

  • PhD in Computer Science, Quantum Engineering, or related field with 8+ years industry experience
  • Published research in Nature/Science journals on quantum algorithms or neural interfaces
  • Proven track record of commercializing emerging technologies (min. 3 products)
  • Expertise in federated learning and zero-knowledge proof architectures
  • Deep understanding of biotech-computer convergence points (CRISPR-AI, synthetic biology)
  • Experience leading multidisciplinary teams across 5+ time zones
  • Fluency in Python, Rust, and quantum programming frameworks (Qiskit, Cirq)
  • Speaker at Web Summit or similar tier-1 tech conference (2019-2023)

Required Skills

Quantum Computing AI Ethics Neural Interfaces Biotechnology Convergence Federated Learning Zero-Knowledge Proofs Rust Programming Horizon Scanning

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