Job Description
We are not just building software for today; we are architecting the technological infrastructure of tomorrow. Chronos Future Systems is seeking a visionary Senior 2026 Horizon Systems Architect to lead the design of next-generation predictive AI ecosystems.
In this pivotal role, you will bridge the gap between theoretical quantum computing and practical neural network deployment. You will be responsible for designing the core algorithms that power our autonomous logistics, generative content, and smart-city frameworks. If you are driven by the challenge of defining the technological landscape of 2026, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of AI.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Design and implement high-performance neural networks capable of real-time predictive analytics and autonomous decision-making.
- Lead the architectural migration from 2024 legacy systems to 2026-native scalable frameworks, ensuring zero-latency data processing.
- Collaborate with quantum research teams to optimize data throughput and algorithmic efficiency.
- Establish and enforce ethical guidelines and safety protocols for autonomous agent interactions.
- Mentor a team of brilliant engineers and foster a culture of continuous innovation and technical excellence.
- Conduct rigorous code reviews and architectural audits to maintain system integrity.
Qualifications
- PhD or Masters degree in Computer Science, Computational Physics, or a related technical field.
- 5+ years of experience in Systems Architecture, Machine Learning Engineering, or AI Research.
- Expert proficiency in Python, Rust, and CUDA for high-performance computing.
- Deep understanding of Large Language Models (LLMs), Transformers, and Generative Adversarial Networks (GANs).
- Proven experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Strong background in distributed systems and microservices architecture.