AI Platform Engineer Intern — Remote SDLC Tools

Synopsys, Inc.; Sunnyvale (CA); Hybrid; USD 39,000 - 55,000; Part time

Job summary

Synopsys, Inc. is offering a part-time internship in Sunnyvale, CA, focusing on building agentic developer experiences and AI-enabled SDLC tools. You will prototype tasks like code search, change impact analysis, and test selection while integrating across CI/CD pipelines and source control systems.

You will learn modern platform engineering, practical AI in SDLC, and collaboration with senior engineers, with opportunities to present outcomes to R&D leadership.

Qualifications

• Pursuing BS/MS/PhD in CS/CE and plan to return to school after internship.
• Proficiency in Python and scripting.
• Understanding of SDLC and CI/CD; 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.

Responsibilities

• Prototype agentic developer experiences that automate core SDLC tasks.
• Enhance tools with LLM-driven features and enterprise guardrails.
• Build and containerize microservices; deploy to on-prem and cloud with observability.
• Integrate across Git and large monorepos for cross-repo workflows.
• Connect with CI/CD and test systems to surface actionable insights and automate workflows.
• Define success metrics, add telemetry and dashboards; present demos to leadership.
• Uphold security, compliance, and data governance standards.

Skills

Python

Scripting

Git

CI/CD

Problem solving

Communication

Education

BS/MS/PhD in Computer Science/Engineering

Tools

Jenkins

GitHub Actions

REST/JSON/gRPC

Containers

Job description

Synopsys, Inc. is offering a part-time internship in Sunnyvale, CA, focusing on building agentic developer experiences and AI-enabled SDLC tools. You will prototype tasks like code search, change impact analysis, and test selection while integrating across CI/CD pipelines and source control systems.

You will learn modern platform engineering, practical AI in SDLC, and collaboration with senior engineers, with opportunities to present outcomes to R&D leadership.