Graduate Systems Engineer
Core
Design, integration, validation, and performance analysis of advanced AI compute platforms (CPU, high-speed I/O, power, cooling).
Role type
Graduate Systems Engineer (Hardware Platform Development)
Builds
Advanced AI compute platforms
Domain
Semiconductor hardware / AI infrastructure
Deliverable
production ML models
Required skills
Computer architecture, digital systems, embedded systems, hardware-software interaction, system-level engineering, laboratory testing, technical measurements, programming/scripting (Python, C, C++, MATLAB), root-cause investigation, test automation, data analysis
Preferred skills
CPU subsystems, PCIe, Ethernet, high-speed interfaces, platform validation, power meters, oscilloscopes, logic analyzers, protocol analyzers, test automation tools, data-analysis tools, engineering scripts, performance characterization, power delivery, thermal management, liquid cooling, energy efficiency, systems integration, design verification, configuration control, engineering change processes, technical presentation
Technologies
PCIe 6.0, 800G Ethernet, Python, C, C++, MATLAB
Responsibilities
Contribute to design, integration, and testing of CPU and high-speed I/O subsystems; Develop system-level validation plans, procedures, scripts, and tools; Evaluate platform performance, power, signal behavior, reliability, and interoperability; Investigate emerging I/O technologies; Support power, cooling, and energy-efficiency investigations; Use laboratory equipment to execute tests and gather data; Analyze unexpected behavior and perform root-cause investigations; Collaborate across hardware, firmware, software, mechanical, thermal, and manufacturing teams; Maintain accurate requirements, test procedures, scripts, and engineering notes
Seniority
Entry-level / Graduate
