Software QA Tester

KEY RESPONSIBILITIES

• Possess fundamental knowledge in one specialized discipline.
• Enhance existing automation flows
• Create data analytics on test coverage, defect management and provide solutions to improvise/reduce gaps
• Performance analysis and optimization of machine learning workloads and kernels;
• Develop C++ architecture model to support architecture exploration and predict performance
• Experience with Python and other scripting languages for automation, data collection, and data analysis is MUST
• Hands on with issue debugging skills issue isolation
• Strong understanding of PC hardware, Chipsets, Graphics cards, BIOS VBIOS.
• Good understanding of test lifecycle, QA process terminology.

Preferred Qualifications

• Prior understanding of GPU/CPU pipeline architecture; Understanding of CPU/graphics rendering pipeline is a plus
• Good understanding of computer architecture and experience in model development
• Excellent knowledge of C, C++, and a scripting language;
• Prior knowledge of OpenGL/OpenCL/DirectX is a plus
• Preferred AL/ML experience
• Strong analytical/problem-solving skills and pronounced attention to details
• Must be a self-starter, and able to independently drive tasks to completion
• Good communication and documentation skills
• Good in technical skills and work as a team player.

ACADEMIC CREDENTIALS

M.Tech in Computer Science/Electronics Communication/other IT streams like machine Learning/AI/Data Analytics/Data science, with 1-3 year of experience.

Disclaimer : This job posting has been aggregated from external source. Role detailscontentand availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.