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2026 Futurist Lead

Horizon Dynamics
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape tomorrow today as our 2026 Futurist Lead at Horizon Dynamics. We're pioneering the next wave of human-computer interaction and are seeking a visionary to architect our 2026 roadmap. This role blends strategic foresight with hands-on innovation in an Austin-based R&D hub where your ideas will directly influence trillion-dollar industries.

Join a team of Nobel laureates and Silicon Valley veterans to develop quantum-secure interfaces, neural-integrated AI systems, and sustainable autonomous ecosystems. Our Austin campus features biometric labs, prototype foundries, and direct partnership with NASA's Johnson Space Center.

Responsibilities

  • Architect and execute the 2026 technology roadmap across quantum computing, neuromorphic AI, and space-integrated systems
  • Lead cross-functional R&D teams of 15+ engineers and scientists in rapid prototyping cycles
  • Secure $5M+ in annual innovation grants through DARPA, NSF, and private sector partnerships
  • Develop patentable solutions for next-gen human-machine symbiosis
  • Present findings at global forums like Web Summit and IEEE Future Horizons
  • Maintain strategic relationships with MIT Media Lab, SpaceX, and IBM Research
  • Mentor PhD candidates in emerging technology ethics and implementation

Qualifications

  • PhD in Computer Science, Quantum Physics, or Cognitive Neuroscience with 5+ years industry application
  • Proven track record of shipping breakthrough technologies (3+ patents or major product launches)
  • Expertise in quantum machine learning, neural interface protocols, or distributed autonomous systems
  • Experience securing federal innovation grants ($2M+ value)
  • Published research in Nature/Science journals or equivalent tier
  • Proficiency in Python, C++, and quantum circuit design (Qiskit/IBM Q Experience)
  • Security clearance eligibility (DOD/NSA preferred)

Required Skills

Quantum Computing Neuromorphic AI Space Technology Machine Learning Patent Development Grant Writing Systems Architecture Ethics in AI

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