Job Description
We are at the precipice of a new era in technology. Nexus Horizon Systems is pioneering the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI & Future Tech Architect to lead our core research division.
In this pivotal role, you will design and implement scalable, next-generation artificial intelligence systems that will define the future of human-computer interaction. You will bridge the gap between theoretical AI research and production-ready engineering, ensuring our platforms remain at the cutting edge of innovation.
Why Join Us?
- Work on projects that will shape the technology landscape for the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
If you are ready to architect the future, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the development of scalable AI infrastructure, focusing on AGI (Artificial General Intelligence) and quantum-ready algorithms.
- Lead Research Integration: Translate cutting-edge research papers into production-grade code and architectural patterns.
- Technical Strategy: Define the technical roadmap for the AI division, ensuring alignment with long-term business goals.
- Team Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
- Performance Optimization: Continuously monitor and optimize system latency, throughput, and resource efficiency.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Technical Stack: Proficiency in Python, Rust, or C++; deep understanding of deep learning frameworks (PyTorch, TensorFlow, JAX).
- Leadership: Proven track record of leading high-performance engineering teams through complex product lifecycles.
- Problem Solving: Exceptional ability to solve ambiguous problems and make data-driven architectural decisions.