GPU Cluster Engineer

Key Responsibilities

Test environment setup: TestBed HW and SW environment setup

Validation & Testing: Adjust test SW and run the test cases.

Issue Resolution: Execute testing cycles, report results, and perform initial root-cause analysis on hardware/firmware failures with support from senior staff.

Documentation: Maintain precise technical documentation for system configurations and test methodologies.

Basic Qualifications

Education: Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

Architecture Knowledge: Foundational understanding of x86/ARM server architecture, high-speed networking (Ethernet), and Linux OS environments.

Automation/Scripting: Proficiency in Python or script for automating repetitive test tasks and data collection.

Communication: Strong verbal and written communication skills; ability to distill complex technical issues into clear reports.

Agility: The ability to grasp new technologies and concepts such as hardware protocols and software stacks rapidly.

Preferred Qualifications

AI Infrastructure Knowledge: Familiarity with Heterogeneous Computing and GPU software interfaces such as NVIDIA CUDA or AMD ROCm, or NOS like SoNIC.