Site Reliability Architect
3 weeks ago
We are seeking a highly skilled and experienced Senior Engineer to join our team as an AI Engineering Lead, focusing on the design and development of AI services and capabilities tailored to IT's GPU-based AI Clusters observability. This role involves reshaping how we lead alerts, metrics, and logs by introducing deep learning and GenAI to enhance reliability services.
About UsCisco is a global leader in networking and IT, driving innovation and redefining how people connect, communicate, and collaborate. Our mission is to shape the future of the internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners. We are committed to encouraging a diverse and partnership environment where everyone can thrive and contribute to our collective success.
Responsibilities- Design, build, and maintain observability systems for leading NVIDIA DGX clusters, ensuring flawless monitoring of AI workloads, hardware utilization (GPUs), and system health.
- Develop monitoring tools and dashboards that supervise key metrics such as GPU utilization, memory, temperature, latency, network bandwidth, model performance, and system availability.
- Build custom alerting systems for AI/ML workflows, enabling proactive issue detection (e.g., GPU failures, hardware bottlenecks, system crashes).
- Collaborate with IT and MLOps teams to design efficient, scalable solutions for deploying, monitoring, and leading machine learning models on DGX systems.
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or related fields.
- 7+ years of experience in software engineering, systems engineering, or DevOps roles.
- 3+ years of experience in high-performance computing (HPC) or AI/ML environments.
$180,000 - $220,000 per year, depending on location and experience.
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