• Produce deliverables and perform analysis of the applicable regulatory framework • Coordinate study contributors to ensure overall consistency • Serve as the technical point of contact for all aspects of the project • Lead the project design meetings • Provide technical support during the on-site installation phase • Act as the technical authority (validate technical choices) and ensure the project’s technical compliance • Monitor tasks and deliverables under your responsibility (AE) within the project schedule

• Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the latest HPC technologies. • Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for storage benchmarks on future HPE and competitive systems. • Provide technical analysis of I/O in standard HPC storage and application benchmarks. • Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions in partnership with account teams. • Develop and maintain current knowledge of competitors’ and HPE’s HPC products and relevant HPC performance optimization techniques to ensure HPE’s ability to provide high-quality benchmark performance results.

• Plan and administer small decentralized public water systems and waste water systems. • Provide leadership in the design of efficient and constructable civil projects. • Estimate and budget labor hours for design projects; review job costing reports and take corrective action, as necessary. • Establish and maintain client relationships; ensure client satisfaction and ensure that client objectives are met. • Mentor young design professionals. • Participate in business development opportunities. • Participate in professional organizations and functions.

• Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems • Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows • Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks • Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite • Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.