Job Description
Are you ready to architect the future of technology?
Horizon Systems Inc. is seeking a visionary Senior AI & Quantum Architect to lead our elite "Project 2026" initiative. This is a rare opportunity to define the technology stack of tomorrow, today.
We are building a next-generation simulation platform that models complex global economic shifts and quantum network behaviors. You will work with a world-class team of engineers and data scientists to deploy advanced neural networks and quantum algorithms that will power the industry for decades to come.
Why join Project 2026?
- Work on cutting-edge technology that doesn't exist yet.
- Competitive compensation package with equity options.
- Flexible remote-first culture based in Austin, TX.
Responsibilities
- System Architecture: Design scalable, fault-tolerant distributed systems capable of handling high-performance computing loads for the 2026 simulation platform.
- R&D Leadership: Spearhead research and development into quantum computing algorithms and advanced machine learning models to solve complex predictive problems.
- Team Mentorship: Guide junior developers and data scientists on best practices in AI, cloud infrastructure, and code quality.
- Integration Strategy: Oversee the seamless integration of legacy financial systems with futuristic AI modules and real-time data streams.
- Performance Tuning: Optimize code for speed, efficiency, and security in a high-stakes production environment.
Qualifications
- Experience: 8+ years of professional software engineering with 5+ years specifically in AI/ML or Quantum Computing.
- Education: Master’s degree or PhD in Computer Science, Applied Mathematics, or a related technical field.
- Technical Stack: Proficiency in Python, C++, Rust, and modern frameworks such as TensorFlow or PyTorch.
- Cloud Expertise: Deep experience with AWS, Azure, or Google Cloud Platform (GCP) and containerization technologies like Docker and Kubernetes.
- Problem Solving: Demonstrated ability to architect solutions for ambiguous, multi-dimensional problems with high precision.