Platform Engineer II

Job Summary

Delivers production-ready components and workflows within defined solution areas.
Builds, integrates, and improves application, data, platform, or AI workflows with attention to reliability, security, and repeatability. Applies standard automation, monitoring, and governance practices, and contributes to operational readiness and documentation.

Key Responsibilities

Build and deliver production-ready components within a solution area (AI workflows, data pipelines, services, platforms).

Implement repeatable automation across CI/CD, packaging, deployment, and environment configuration.

Apply standard monitoring/telemetry and contribute to operational readiness (runbooks, alerts, dashboards).

Support Responsible AI basics: documentation, baseline fairness/safety checks, data quality validation, and audit artifacts.

Improve reliability and performance through debugging, profiling, test automation, and incremental refactoring.

Partner with solution architects and developers to integrate workflows end-to-end and meet non-functional requirements.

Contribute reusable templates/modules that accelerate delivery across teams.

Skill Requirements

1. Solid proficiency in STD cell characterization techniques and tools.

2. Strong understanding of semiconductor device physics and measurement systems.

3. In-depth knowledge of data analysis software used in characterization workflows.

4. Ability to apply advanced characterization standards and methodologies to project tasks.

5. Solid communication skills for intra-team collaboration and technical reporting.

Other Requirements

1. Certification in Semiconductor Device Characterization or related fields is optional but valuable (e.g., IEEE Certified Semiconductor Professional).