Leadership Hiring

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

THE ROLE: 

Ideal candidate should have 15 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 & testers
• Analyze, optimize & improve current architecture of various components of test Infra tools including integration
• Implement containerized test infra with full on-prem/cloud portability Compatible with various job management systems like LSF, SLURM, and Kubernetes orchestration framework
• Drive & Implement strategies to leverage AI/ML models at various stages of testinfra
• Drive & Implement Next Gen QOR (Quality of results for FPGA designs) regression execution & reporting
• Overseeing 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 sessions

PREFERRED EXPERIENCE: 

• Professional 13+ yrs of technical experience  and at least 5 years' experience in design & implementation of product developments
• Experience in developing tools around test Infra automation
• Expert in structured & OOP in Python
• Proficiency in Scripting and automation languages (e.g., Python, Bash, Csh,..)
• Linux & Windows shells working environment
• Understanding of AI/ML principles and some experience in applying LLM & ML models in tool development
• Experience 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 actions
• Additionally, experience with monitoring and logging tools for containerized environments (e.g., Prometheus, Grafana, ELK Stack)
• Excellent problem-solving abilities with a keen eye for detail are highly valued

ACADEMIC CREDENTIALS: 

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent 

 #LI-SS1

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.