Solutions Engineer

• Develop end-to-end AI infrastructure reference solutions optimized for d-Matrix servers including compute, networking, storage, and orchestration layers, in collaboration with various internal teams.
• Create reference blueprints that integrate smoothly into cloud-native and on-prem environments.
• Develop infrastructure-as-code templates and examples using Ansible, Terraform, and Helm for provisioning d-Matrix-based nodes and clusters.
• Integrate with Kubernetes-based systems to enable model deployment, auto-scaling, and fault-tolerant execution.
• Design and deploy telemetry and monitoring frameworks to support real-time visibility into d-Matrix cluster health, job status, and system performance.
• Integrate with industry-standard observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) for data collection, visualization, and alerting.
• Develop dashboards, health check systems, and metric pipelines that track performance, availability, and operational KPIs
• Collaborate with performance and software teams to validate infrastructure using real-world workloads and benchmarks.
• Incorporate telemetry hooks for benchmark reporting and feedback-driven tuning.
• Create and publish detailed infrastructure deployment guides, monitoring configuration templates, and operational best practices.
• Collaborate with customers and OEM/ISV ecosystem, enable them to adopt and customize reference solutions to their specific datacenter environments and/or software stacks.

Principal AI Infrastructure Solution Architect

Solutions Engineer

Senior Director, Technology – Solutions Architect

Senior Solutions Engineer

Junior Solutions Engineer