Senior Hardware Performance Test Engineer, Platforms Infrastructure Engineering

Overview Lead cross-discipline hardware test initiatives for end-to-end ML system hardware. You’ll design scalable test infrastructure, automate test workflows, and ensure lab-readiness for new products. Collaborate with HW and software teams to deliver reliable performance data and integrated test execution. You drive impact by shaping testing strategies across lab resources, data collection, and external measurement synchronization. This role offers influence over both development and sustaining efforts in a cutting-edge infrastructure team. Compensation / Benefitsbonus targetequitybenefits ResponsibilitiesLead end-to-end system integration tests and define configurationsDevelop and scale test automation and infrastructure for fleet-wide test managementCreate quality data collection and visualization pipelines for measurementsProvide integrated software to synchronize DUT test execution with external measurement instrumentsCoordinate with hardware and software designers on project planning and resource allocation in labsLiaise between HW engineering teams and lab teams to ensure lab readiness and budget/resource managementSupport lab hiring, performance management, and maintaining a safe, organized work environmentContribute to design and execution of tests for end-to-end ML system components (CPU, memory, storage, ML ASICs, interconnects) Key requirementsBachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or equivalent practical experience4 years in a hardware development lab environment or 3 years with advanced degree3 years of Linux and Python scriptingExperience with hardware evaluation methodologies including measurements, performance monitoring, test automation, and data analysisEffective written and verbal communicationPeople management and cross-functional coordinationAbility to coordinate multiple lab users’ needsLinux (Ubuntu/RHEL) and shell scriptingPython programmingTest automation and data analysis