Job Description
Are you ready to define the infrastructure of tomorrow?
Nexus Horizon Labs is seeking a visionary Future Technology Architect to lead our R&D division in San Francisco. As we look toward the year 2026 and beyond, we are building the foundational technologies that will power the next generation of autonomous systems and quantum computing interfaces.
In this pivotal role, you won't just be writing code; you will be architecting the bridge between current AI capabilities and future realities. We are looking for a pioneer who thrives in ambiguity and is obsessed with the ethical implications of emerging tech.
Why Join Us?
- Work on post-silicon computing and neuromorphic hardware integration.
- Shape the future of Generative AI alignment and synthetic data ecosystems.
- Competitive equity package and cutting-edge research budget.
Responsibilities
- Architect Future Systems: Design scalable, secure, and ethical frameworks for next-generation AI and quantum computing applications.
- R&D Leadership: Lead a team of top-tier engineers in exploring novel computing paradigms, including brain-computer interfaces and edge AI.
- Strategic Vision: Translate abstract future trends (2026+ roadmaps) into actionable technical roadmaps and product requirements.
- Ethical Oversight: Implement robust governance models to ensure AI safety, transparency, and fairness in autonomous decision-making systems.
- Technical Mentorship: Foster a culture of innovation and continuous learning within the engineering department.
- Stakeholder Management: Collaborate with C-level executives and product teams to align technical vision with business goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. A focus on AI Ethics or Quantum Physics is highly desirable.
- Experience: 7+ years of experience in software architecture, with at least 3 years leading high-level technical strategy in AI or distributed systems.
- Technical Stack: Deep expertise in Python, Rust, or Go; familiarity with TensorFlow, PyTorch, or quantum simulation frameworks (Qiskit/Cirq).
- Future-Proofing: Demonstrated ability to anticipate and adapt to emerging technologies before they become mainstream.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: A proven track record of solving complex, ambiguous problems in large-scale environments.