Software Validation Engineer (QA)

Job Description

You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented , you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms . KEY RESPONSIBILITIES: Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute) , data science, Virtualization , and machine learning platforms in the worl d Define/develop/execute regression test models and track the results Driv e innovation in production software environment s Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) 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, ideally OpenCL, ROCm, CUDA, and OpenACC 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. ACADEMIC CREDENTIALS: B achelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent