GPU Virtualization Test Automation Engineer

MUST HAVE SKILLS :

• Python, Linux Shell scripting, and Windows PowerShell.
• Python skills should be at an intermediate to advanced level.

GPU Virtualization Test Automation Engineer

The GPU Virtualization team works directly with Cloud Service Providers like AWS and Microsoft to unleash the power of the latest graphics processors in the cloud. We develop kernel driver software for professional, server-grade GPUs, such as Radeon Pro V, allowing a single GPU to be shared by up to Virtual Machines.

Testing the latest virtualization driver on multiple platforms while working in a fast-growing team with industry experts. The candidate will be helping with qualification of our products including performance analysis, functional testing, and power measurements.

THE PERSON :

A successful candidate will work with senior test engineers on the

team to develop test automation for many of our reference solutions.

(Client, Xen, KVM, or HyperV) The candidate will be highly accurate and detail-oriented, possessing good communication and problem-solving skills.

KEY RESPONSIBILITIES :

Define and execute test cases for GPU Virtualization.

Create and maintain automation test framework for KVM / HYPER-V / Client hypervisor.

Analyze and narrow down issues found during test.

Conduct sanity test, integration test, solution test, Performance test, stress test.

Reproduce and analyze issues reported by customers.

PREFERRED EXPERIENCE :

Knowledge of Windows and Linux environments

Experience in scripting languages such as Python, Windows PowerShell, Linux shell script

Experience with software development process and tools such as debuggers and source code control systems a plus

Knowledge of KVM / HYPER-V / Client is a plus

ACADEMIC CREDENTIALS :

BS / MS / degree in Electrical Engineering, Mathematics, Computer Science, Engineering or an equivalent

EEO :