AI Platform Engineering Internship

Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, with the intention to return to school after the internship.

Proficiency in Python and strong scripting skills.

Understanding of SDLC and CI/CD principles; hands-on knowledge of Git.

Experience building services/APIs and working with JSON/REST or gRPC; familiarity with containers.

Demonstrated interest in AI/ML or LLM applications through coursework or projects; willingness to learn agentic frameworks and evaluation methods.

Strong problem-solving and communication skills with a product-oriented mindset.

Preferred Qualifications

Experience with CI/CD tools (Jenkins, GitHub Actions) and artifact systems.

Familiarity with AI tooling infrastructure (LiteLLM, langchain, Chroma/pgvector DB).

Knowledge of security/compliance basics (OAuth/OIDC, SSO, RBAC).

Modern platform engineering: Gain hands-on experience with microservices, containers, Kubernetes, observability, and reliability engineering.

Practical AI in the SDLC: Apply agentic workflows in mature, complex, large-scale software development environments.

Legacy system modernization: Work on integrating with and re-architecting mature, mission-critical legacy frameworks used by thousands of engineers.

Direct impact: Your work will influence thousands of engineers across high-revenue product lines, with the potential to see your prototypes productionized.

Collaboration and creativity: Partner with senior engineers, present to R&D leadership, and contribute ideas that drive measurable improvements to cycle time, quality, and developer satisfaction.

Location: Sunnyvale, CA (Remote options available).

Working Model: Flexible hybrid or remote working arrangement.

Full-Time/Part-Time: Part-time position.

Start Date: Flexible based on candidate availability.

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.