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Information Technology 🏢 Full Time ⭐️ Verified

Director of Future Tech: 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Director of Future Tech to lead our strategic engineering initiatives in Artificial General Intelligence (AGI) and autonomous systems.

In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering. You will not just build software; you will architect the future. We offer a competitive compensation package, equity options, and the opportunity to work on projects that will shape human-machine interaction for the next decade.

Why Join Us?

  • Work at the intersection of AI, Quantum Computing, and Biotechnology.
  • Competitive base salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote-first policy with quarterly in-person innovation sprints.

Responsibilities

  • Define and execute the 2026 Technology Roadmap for core AI infrastructure.
  • Lead a high-performing team of Machine Learning Engineers and Research Scientists.
  • Architect scalable, fault-tolerant systems capable of processing petabytes of data in real-time.
  • Collaborate with cross-functional stakeholders to align technical vision with business goals.
  • Identify emerging technologies (e.g., Neuromorphic Computing) and evaluate their applicability to our product suite.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership capacity within the AI/ML space.
  • Deep understanding of Deep Learning frameworks (TensorFlow, PyTorch) and distributed systems.
  • Experience designing systems for Large Language Models (LLMs) or Generative AI.
  • Strong background in Computer Science fundamentals, algorithms, and data structures.
  • Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
  • Ph.D. in Computer Science, Machine Learning, or a related field is a strong plus.

Required Skills

Python Machine Learning System Architecture Deep Learning AI Distributed Systems Leadership TensorFlow PyTorch

Ready to Take This Challenge?

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