Job Description
Are you ready to architect the future of technology? Horizon 2026 Labs is seeking a visionary Future Systems Architect to design the scalable infrastructure for the next generation of AI and autonomous systems.
As a key player in our 2026 initiative, you will bridge the gap between theoretical breakthroughs and tangible, high-performance engineering solutions. We are not just building for today; we are engineering the foundation for a sustainable, intelligent tomorrow.
Why Join Us?
- Work on cutting-edge projects that define the industry standards for 2026 and beyond.
- Competitive salary package with comprehensive benefits and equity options.
- Flexible remote-first culture with a vibrant in-office community in San Francisco.
Responsibilities
- Design Next-Gen Infrastructure: Architect resilient, scalable systems capable of handling exabyte-scale data loads and quantum-ready environments.
- Lead AI Integration: Oversee the seamless integration of Artificial Intelligence and Machine Learning models into core product architectures.
- Technical Strategy: Develop long-term technical roadmaps that align with the company's 2026 vision and industry trends.
- Performance Optimization: Identify bottlenecks and implement high-performance computing solutions to ensure real-time latency is minimized.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and security experts to deliver robust, secure software products.
- Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops.
Qualifications
- Bachelor’s or Master’s Degree: In Computer Science, Engineering, or a related field.
- Experience: 8+ years of experience in systems architecture, with a focus on distributed systems and cloud computing (AWS, Azure, GCP).
- Programming: Proficiency in Python, Go, or Rust, with a deep understanding of low-latency systems.
- AI Knowledge: Hands-on experience with large language models (LLMs), neural networks, or edge computing.
- Problem Solving: Proven track record of solving complex engineering challenges under tight deadlines.
- Communication: Excellent verbal and written communication skills for translating complex technical concepts to diverse stakeholders.