Job Description
We are pioneering the infrastructure required for the artificial intelligence revolution of 2026. Nexus Horizon Systems is looking for a visionary Senior AI Infrastructure Engineer to architect scalable, high-performance computing environments that power next-generation generative models and autonomous agents.
In this role, you will bridge the gap between cutting-edge machine learning research and robust, production-grade engineering. You will be responsible for deploying containerized ML workloads, optimizing GPU clusters, and ensuring data sovereignty in a decentralized cloud ecosystem.
Why Join Us?
- Work on projects that define the standard for AI in 2026.
- Competitive compensation and equity packages.
- Flexible remote-first culture.
Responsibilities
- Design and implement scalable data pipelines and model serving architectures optimized for 2026 latency standards.
- Manage and optimize large-scale GPU clusters using Kubernetes and custom orchestration tools.
- Collaborate with researchers to deploy state-of-the-art models (LLMs, Diffusion) in production environments.
- Implement rigorous monitoring, logging, and observability solutions to ensure system reliability.
- Drive architectural decisions that balance innovation with security and regulatory compliance (GDPR, AI Act).
Qualifications
- 8+ years of experience in software engineering, with a focus on infrastructure or machine learning systems.
- Deep proficiency in Python, C++, and shell scripting.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of optimizing ML training inference pipelines.
- Familiarity with quantum computing interfaces or edge AI deployment is a major plus.