Job Description
We are on the precipice of a technological revolution, and Horizon AI Labs is leading the charge. We are seeking a visionary Future Tech Architect to spearhead our 2026 Initiative, a groundbreaking program focused on next-generation artificial intelligence and neural interface systems.
In this role, you will not just build software; you will architect the infrastructure that defines the future of human-computer interaction. You will work in a high-performance environment, collaborating with top-tier researchers to integrate quantum computing principles with deep learning architectures.
Join us in shaping the world of 2026 and beyond.
Responsibilities
- Architect the 2026 Roadmap: Design and implement scalable, robust AI systems capable of handling next-generation data loads and real-time neural processing.
- Lead Technical Innovation: Spearhead the integration of emerging technologies, including quantum algorithms and advanced neural networks, into our core product suite.
- Cross-Functional Collaboration: Partner with product managers, ethicists, and hardware engineers to ensure seamless interoperability between software and next-gen interfaces.
- Code Optimization: Oversee the engineering team to ensure high-code quality, efficiency, and security across all AI infrastructure projects.
- Mentorship: Guide and mentor a team of senior software engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of professional experience.
- Experience: Minimum of 7 years of experience in software engineering, with at least 3 years in leading architectural roles for large-scale machine learning systems.
- Technical Skills: Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with quantum computing libraries is a major plus.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.