5+ years of software engineering experience, with at least 3+ years focused on model training infrastructure, model serving systems, or MLOps platforms.
Design, develop, test, and maintain software solutions for semiconductor device characterization, parameter extraction, compact model generation, and model validation.
- Experience with AWS deployment, Terraform, Docker, or similar cloud infrastructure tools would be advantageous. Candidates with exposure to CI/CD pipelines, cloud-native architecture, or container orchestration will be particularly valued.
Technical ownership and review. Acting as code owner for the platform: reviewing architecture, API design, schema and infrastructure proposals from the build team, approving and merging, and setting direction on the decisions that matter.