Job Description
Join the Architects of Tomorrow.
Nexus Horizon Technologies is pioneering the infrastructure required for the AI evolution of 2026 and beyond. We are looking for a visionary Senior AI Infrastructure Architect to lead the design and deployment of scalable, high-performance computing systems. If you are passionate about optimizing large-scale neural networks and building the backbone of the future internet, this is your opportunity to shape the next decade of technology.
Why Join Us?
- Work with state-of-the-art Large Language Models (LLMs) and generative AI.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a hub in the heart of SF.
Responsibilities
- Design and maintain highly available, distributed infrastructure for AI training and inference workloads.
- Optimize GPU clusters and cloud resources to reduce latency and maximize throughput for neural networks.
- Implement robust CI/CD pipelines specifically tailored for machine learning model deployment.
- Collaborate with data scientists and ML engineers to translate research into production-grade systems.
- Ensure system security, compliance, and scalability for future 2026-ready technologies.
- Conduct architecture reviews and drive technical strategy for infrastructure modernization.
Qualifications
- 7+ years of experience in DevOps, SRE, or Systems Architecture with a focus on AI/ML.
- Deep expertise in Kubernetes, Docker, and container orchestration platforms (EKS, GKE, AKS).
- Strong proficiency in Python, Go, or Bash scripting for automation.
- Experience managing cloud environments (AWS, Azure, or GCP) with a focus on cost optimization.
- Familiarity with MLOps tools (MLflow, Kubeflow, TFX) and data pipeline frameworks (Airflow, Spark).
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.