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Information Technology 🏢 Full Time ⭐️ Verified

AI & Emerging Technologies Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative AI & Emerging Technologies Lead to architect our next-generation digital infrastructure. You'll spearhead initiatives in quantum computing, neural interfaces, and autonomous systems while mentoring cross-functional teams to transform visionary concepts into scalable realities.

What You'll Achieve: Build our AI ethics framework, lead patent-protected R&D projects, and establish strategic partnerships with global tech accelerators. This role combines deep technical expertise with strategic foresight to position Nexus as the industry's 2026 innovation benchmark.

Responsibilities

  • Architect and deploy AI-powered systems for predictive analytics and automation
  • Lead cross-functional teams in developing proprietary quantum computing protocols
  • Establish corporate strategy for next-gen human-computer interaction technologies
  • Secure $5M+ in R&D funding through grant writing and investor relations
  • Author whitepapers on 2026 technology trends for industry publications
  • Mentor senior engineers on emerging tech implementation best practices
  • Collaborate with C-suite on 10-year technology roadmap development

Qualifications

  • PhD in Computer Science or equivalent with 10+ years in AI/ML
  • Published research in quantum computing or neural interfaces
  • Proven track record leading tech teams through commercialization
  • Expertise in federated learning and ethical AI frameworks
  • Experience securing federal/state innovation grants
  • Strong background in Python, TensorFlow, and quantum programming
  • Deep understanding of Moore's Law evolution and semiconductor futures

Required Skills

AI/ML Quantum Computing Neural Interfaces Strategic Planning R&D Leadership Ethical AI Federated Learning TensorFlow

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