Graduate Performance Engineer
Core
Design, integration, bring-up, and validation of complex server- and rack-level performance for large-scale AI computing systems.
Role type
Graduate Performance Engineer (Hardware/Software Systems)
Builds
Server and rack-level AI computing systems
Domain
AI computing hardware and system architecture
Deliverable
production ML models
Required skills
software development, hardware architecture, performance analysis, system modeling, debugging, technical documentation
Preferred skills
high-speed interface knowledge (PCIe, DDR, Ethernet), performance-focused architecture design
Technologies
PCIe, DDR, Ethernet
Responsibilities
Support design, peer review, bring-up, and debug of complex server- and rack-level systems; Assist with modeling, design, and evaluation of the software and hardware stack to identify performance bottlenecks; Collaborate with hardware and software development teams
Seniority
Graduate, hands-on IC
