AI Validation Engineer

Education: Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, Computer Engineering, or a related technical field.

Top 3 Skills:

• Working knowledge of AI-powered productivity tools, Generative AI technologies, and prompt engineering techniques, with the ability to leverage AI solutions to improve engineering productivity, automate workflows, and enhance testing efficiency.
• Basic understanding of graphics technologies, GPUs, graphics drivers, gaming workloads, or Windows/Linux environments.
• Demonstrate flexibility and adaptability to perform both manual and automated validation activities based on business priorities, project requirements, and release timelines, ensuring comprehensive quality coverage and delivery excellence. Scripting skills in languages such as Python

Job Responsibilities / Day-to-Day Activities :

• Execute manual and automated validation tests to verify graphics driver functionality, stability, compatibility, and performance.
• Analyze test failures, investigate issues, and assist in root cause analysis by collaborating with development teams to identify regressions and quality concerns.
• Develop and maintain automation scripts and tools to improve test coverage, reduce manual effort, and enhance validation efficiency.
• Leverage AI-powered tools and modern technologies to improve productivity, streamline workflows, and optimize testing processes.
• Support the setup and maintenance of Quality Engineering infrastructure, including test environments, build validation systems, and CI/CD workflows.
• Assist in creating and executing test plans covering gaming, ISV applications, SDK validation, certification testing, and customer scenarios.
• Participate in regression, feature, and performance validation cycles and contribute to release readiness assessments.
• Track, verify, and retest defects through issue management systems such as Jira, ensuring timely closure of reported issues.
• Collaborate effectively with software developers, quality engineers, and program managers to resolve issues and deliver high-quality releases.
• Contribute to continuous process improvements through automation, workflow optimization, and innovative testing approaches.
• Support test lab operations, including maintaining test hardware, software configurations, and validation environments.
• Build, maintain, and enhance QE infrastructure, including test environments, test builds, and CI/CD pipelines to support scalable validation.

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