AI Platform Engineering Internship

Technology, Data & Digital · Software & Web Development · Software Engineering · DevOps · Machine Learning

In short

This internship focuses on AI Platform Engineering, aiming to make the Software Development Lifecycle (SDLC) AI-native. Interns will prototype AI-driven developer experiences, enhance tools with LLM features, and integrate services into cloud and on-prem environments, impacting products generating over $8B in annual revenue.

Responsibilities

  • Prototype agentic developer experiences to automate SDLC tasks like code search, impact analysis, and build triage.
  • Enhance existing tools with LLM-driven features, including model routing, privacy controls, and feedback loops.
  • Build and integrate microservices, containerize them, and deploy to on-prem and cloud environments.
  • Add observability and reliability features to deployed services.
  • Integrate with multiple source control systems (e.g., Git, Perforce/Helix) for cross-repo workflows.
  • Connect with CI/CD and test systems (e.g., Jenkins, GitHub Actions) to automate workflows.
  • Define success metrics, add telemetry and dashboards, and present demos to R&D leadership.
  • Uphold security, compliance, and data governance standards.

Requirements

  • Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
  • 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.

Desired 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).

Benefits

  • Real-world projects and hands-on experience.
  • Opportunities to collaborate with passionate teams globally.
  • Freedom to share ideas and explore interests.
  • Chance to work with cutting-edge technology.
  • Potential to see prototypes productionized.
  • Networking opportunities with senior engineers and R&D leadership.
  • Comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.
  • Eligibility for annual bonus, equity, and other discretionary bonuses.
#AI#Machine Learning#LLM#Platform Engineering#Internship#Software Development#SDLC#CI/CD
Synopsys Inc Logo

Company

Synopsys Inc

Job Posted

1 week ago

Employment Type

Internship

WorkMode

Hybrid

Experience Level

Entry

Locations

Sunnyvale, United States

Qualification

Bachelor, Master, Doctoral

Applicants

Be an early applicant