Full Stack Automation Tech Lead - Data Center GPU

About the Role

Key Responsibilities

• Develop a deep understanding of the wider automation development space and its stakeholders both within DCGPU and across the company to drive holistic requirements, architecture and roadmaps.
• Work with post silicon teams and leadership to identify upcoming validation program needs and user base needs.
• Collaborate with DevOps, data engineering, and validation teams to align architecture, tooling, and best practices.
• Lead strategic initiatives that span multiple business units and engineering domains.
• Contribute to the development of internal tools and frameworks that may be released as open-source or shared externally with partners.
• Mentor junior and senior engineers, fostering a culture of technical excellence and continuous improvement.
• Improve scalability, resiliency, and cost-effectiveness of frameworks and cloud-based services.

Requirements

• Extensive experience in full stack development with Python and Angular or similar technologies.
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes) and managing compute clusters (e.g., Slurm).
• Experience with SQL and database design.
• Proven track record in using or managing cloud infrastructure (e.g., AWS, Azure, Google Cloud) and/or on-premises edge infrastructure.
• Background in DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Ansible, Terraform).
• Experience with data engineering tools (e.g., Spark, Kafka, Airflow) and database systems (SQL/NoSQL).
• Proficiency in Linux, including system administration and scripting.
• Excellent problem-solving skills and the ability to work both independently and collaboratively.
• Proven track record of mentoring engineers and driving cross-functional collaboration.
• Strong communication skills to effectively convey technical concepts to diverse audiences.
• Experience working in HPC environments.
• Experience owning and releasing high-availability production services with strict uptime requirements.

Nice to Have

• Background in HPC environments.
• Experience owning and releasing high-availability production services with strict uptime requirements.

Qualifications

• Bachelor's or master's degree in Electrical/Computer Engineering, Mathematics, Computer Science or an equivalent preferred.

Benefits & Perks

• Benefits offered are described: AMD benefits at a glance.