Software Validation Engineer (QA)

As a Senior Software Systems Design Engineer, you will deliver our next generation of products in the computer graphics industry 3D Gaming, Display Technologies, Compute, Virtual Reality, etc. In this high visibility position, your systems engineeringexpertisewill be necessary to define products, develop solutions, assess root causes, and produce solution resolutions.As a senior member of theteam,takinginitiativeinmentoringtoachievethe team's goalof on time delivery is expected.

KEY RESPONSIBILITIES:

• Drivetechnical innovation to improve AMD s capabilities across product development and validation, including software tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives.
• Responsible for AMD's new GPU/System bring up, ROCm SW stack testing, etc.
• Responsible for quality and performance timeliness of result for a portion of project/process.
• Contribute to Improve overall process, quality of products.
• Be involved in the automation of manual test cases and work closely with automation infrastructure.
• Executing white box, black box, and regression tests for existing ROCm features.
• Responsible for quality and timeliness of result for a portion of project/process.
• Make more complex technical decisions independently.
• Implement checks and balances independently to minimize the impact of mistakes.
• Leadcollaborative approaches with multiple teams.
• Mentorothers to achieve integrated projects.

PREFERRED EXPERIENCE:

• Good understanding of test lifecycle, QA process terminology.
• Strong knowledge of Device drivers, graphics, multimedia, Codec.
• Test Execution Experience in an automation lab with multiple systems.
• Define, develop, execute functional/performance/load tests, and integrate them with automated test systems.
• Establishing and sharing best practices, designing, and executing a robust test strategy.
• Proficiency in at least one programming language preferably Python.
• Strong understanding Hands-on exp. with Linux OS internals, device manager.
• Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level.
• Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS VBIOS.
• Understanding of parallel programming. ROCm or CUDA is a plus.
• Understanding machine learning, artificial intelligence, computer vision technologies is a plus.
• Strong analysis, problem-solving interpersonal skills.
• Good verbal written communication skill is a must.
• Good attitude, result-driven ability to deliver on next-gen technology.
• Knowledge of KVM/XEN/VMWARE is a plus

ACADEMIC CREDENTIALS:

• Bachelors or master s degree in electrical or computer engineering.
• Masters degree preferred.