Job Description
Join Nexus Dynamics at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary 2026 Technology Futurist to architect tomorrow's innovations today. This role demands strategic foresight, cross-disciplinary expertise, and the ability to transform emerging technologies into market-defining solutions. You'll lead initiatives spanning quantum computing, neuro-interfaces, and sustainable AI ecosystems while mentoring next-generation innovators.
Our Austin hub offers unparalleled resources including quantum labs and neuro-research facilities. We provide competitive benefits, flexible hybrid work arrangements, and opportunities to publish in leading tech journals. If you're ready to redefine human-machine interaction and pioneer the technologies that will define the next decade, this is your moment.
Responsibilities
- Develop 5-year technology roadmaps for quantum computing applications and neuro-interface systems
- Lead cross-functional teams in prototyping next-gen AI models with ethical governance frameworks
- Analyze global tech trends to identify disruptive opportunities in sustainable computing
- Collaborate with academic partners to commercialize breakthrough research in quantum cryptography
- Present strategic visions to C-suite executives and venture capital stakeholders
- Mentor junior researchers in emerging technology methodologies and innovation processes
- Secure patents for novel human-computer interaction paradigms
Qualifications
- PhD in Computer Science, Quantum Physics, or Cognitive Neuroscience with 5+ years industry experience
- Published research in quantum algorithms or neural interface design (IEEE/Nature journals)
- Proven track record leading tech strategy at Fortune 500 scale ($100M+ projects)
- Expertise in ethical AI frameworks and sustainable computing architectures
- Proficiency in Python, TensorFlow, and quantum programming languages (Qiskit)
- Experience securing SBIR grants or venture capital for emerging technologies
- Deep understanding of semiconductor limitations and quantum error correction techniques