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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist (AI & Quantum 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Future Tech Strategist to lead our cutting-edge research into Artificial General Intelligence and Quantum Computing integration.

In this pivotal role, you will bridge the gap between theoretical physics and practical software engineering. You won't just be building applications; you will be architecting the infrastructure that powers the next decade of human-machine interaction. We are looking for a pioneer who thrives in ambiguity and has the technical pedigree to turn tomorrow's science into today's solutions.

Join us in shaping the future of technology from the heart of San Francisco's innovation district.

Responsibilities

  • Architect scalable, future-proof AI infrastructures designed to meet the demands of 2026 and beyond.
  • Lead research initiatives in Quantum Machine Learning and advanced Neural Networks.
  • Collaborate with cross-functional teams to translate complex scientific concepts into deployable software solutions.
  • Define technical roadmaps and establish best practices for next-gen development cycles.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Conduct feasibility studies for emerging technologies to ensure competitive advantage.

Qualifications

  • 10+ years of experience in software engineering, with a focus on AI/ML and distributed systems.
  • Deep understanding of Neural Networks, Transformers, and Quantum Computing fundamentals.
  • Proven track record of leading technical teams through complex, undefined problem spaces.
  • Experience with high-performance computing environments and cloud architecture (AWS/GCP).
  • Strong communication skills with the ability to articulate complex technical strategies to stakeholders.
  • Master's degree or PhD in Computer Science, Physics, or a related field is a strong plus.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Machine Learning Python C++ Leadership Cloud Computing

Ready to Take This Challenge?

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