THE ROLE :
Ideal candidate should have 7 to 12 years of experience in technical roles involving tool development with some focus in areas of regression management like scheduling, executing harness, failure analysis & assignment and reporting. Also should have hands-on experience in working with DevOps env tools including cloud, databases & AI / ML technologies.
THE PERSON :
- The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES :
Drive and improve implementation of test infrastructure to provide robust test environment to developers & testersAnalyze, optimize & improve current architecture of various components of test Infra tools including integrationImplement containerized test infra with full on-prem / cloud portability Compatible with various job management systems like LSF, SLURM, and Kubernetes orchestration frameworkDrive & Implement strategies to leverage AI / ML models at various stages of testinfraDrive & Implement Next Gen QOR (Quality of results for FPGA designs) regression execution & reportingOverseeing and providing development support to team members.Collaborating with cross-functional teams, providing technical support, and troubleshooting migration to next generation tools, CI / CD, containerization, Kubernetes, and cloud tooling issues.Creating comprehensive documentation, mentoring junior team members, and conducting training sessionsPREFERRED EXPERIENCE :
Professional 8+ yrs of technical experience and at least 5 years experience in design & implementation of product developmentsStrong knowledge in CI / CD tools and DevOps practices.Experience in developing tools around test Infra automationExpert in structured & OOP in PythonProficiency in Scripting and automation languages (e.g., Python, Bash, Csh,..)Linux & Windows shells working environmentUnderstanding of AI / ML principles and some experience in applying LLM & ML models in tool developmentExperience with working in DevOps environment like GitHub, Perforce version control systems, containerization technologies like Docker, Kubernetes orchestration and CI / CD pipelines using Jenkins or Github actionsAdditionally, experience with monitoring and logging tools for containerized environments (e.g., Prometheus, Grafana)Excellent problem-solving abilities with a keen eye for detail are highly valuedACADEMIC CREDENTIALS :
Bachelor s or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.Skills Required
product developments, CI / CD tools, DevOps practices, OOP in Python, LLM & ML models