Job Description
Are you ready to architect the future? Nexus Horizon Technologies is a cutting-edge research firm pioneering the technologies that will define the year 2026 and beyond. We are seeking a visionary Head of Future Systems to lead our Project 2026 initiative, bridging the gap between theoretical AI breakthroughs and deployable infrastructure.
In this role, you won't just follow a roadmap; you will create one. You will oversee the development of next-generation autonomous agents and quantum-interfaced neural networks. If you are passionate about solving humanity's most complex challenges through advanced engineering and want to be at the epicenter of the 2026 technological revolution, we want to meet you.
Why Join Us?
We offer a competitive equity package, a fully remote-first culture with quarterly 'Deep Work' retreats, and the opportunity to work with the brightest minds in Silicon Valley.
Responsibilities
- Lead the technical vision and architecture for Project 2026, ensuring scalability and security across all layers.
- Define and execute the technical roadmap for next-gen AI deployment targets.
- Collaborate with cross-functional teams (Hardware, Ethics, Product) to integrate quantum computing solutions into existing stacks.
- Mentor senior engineering talent and foster a culture of innovation and rapid prototyping.
- Oversee the transition of R&D prototypes into production-ready systems by Q4 2025.
- Conduct high-level technical presentations to stakeholders and investors regarding future capabilities.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field (10+ years of experience).
- Proven track record of leading large-scale technical teams and delivering complex systems.
- Expert knowledge in Deep Learning, Large Language Models (LLMs), and Reinforcement Learning.
- Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
- Strong understanding of ethical AI principles and governance frameworks.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences.