AI Platform Engineering Internship

Category Interns/Temp Hire Type Intern Job ID 18799 Base Salary Range $0-$0 Remote Eligible Yes Date Posted 09/10/2026

We Are
Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience
At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide -and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement
Our mission is to fuel today's innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive - both at work and beyond.

About the Team

The Synopsys Central Engineering Team builds the platforms and tools used by thousands of engineers working on complex, scientific codebases. We are on a mission to make our SDLC AI-native and agentic to accelerate how code is authored, reviewed, built, tested, and released. The tools you build will support product lines generating over $8B in annual revenue - giving you the chance to make a direct impact on innovation at scale.

What You'll Be Doing

• Prototype agentic developer experiences that automate high-friction SDLC tasks such as code search, change impact analysis, test selection, build failure triage, and review assistance.
• Enhance existing tools with LLM-driven features using enterprise guardrails including model routing/abstraction, privacy controls, and evaluation/feedback loops.
• Build and integrate microservices; containerize and deploy to on-prem and cloud environments while adding observability and reliability features.
• Integrate across multiple source control systems (e.g., Git, Perforce/Helix) and large monorepos to enable seamless cross-repo workflows.
• Connect with CI/CD and test systems (e.g., Jenkins, GitHub Actions) to surface actionable insights and automate development workflows.
• Define success metrics; add telemetry and dashboards; present demos and outcomes to R&D leadership to showcase measurable productivity gains.
• Uphold security, compliance, and data governance standards including SSO/RBAC and secrets management.
  
  

What You'll Need

• 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).
  
  

What You'll Learn and Gain

• 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.
  
  

Key Program Facts

• 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.
  
  

Equal Opportunity Statement

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.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.