{"schemaVersion":"jobsearcher.job.v1","id":"bbd10609f61480adeac8b319","url":"https://jobsearcher.com/jobs/bbd10609f61480adeac8b319","canonicalUrl":"https://jobsearcher.com/jobs/bbd10609f61480adeac8b319","title":"Intern (Technical-Engineering)","description":"We Are\nDrive 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.\n\nInternship Experience\nAt 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!\n\nMission Statement\nOur 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.\n\nAbout the Team\n\nThe 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.\n\nWhat You'll Be Doing\nPrototype agentic developer experiences that automate high-friction SDLC tasks such as code search, change impact analysis, test selection, build failure triage, and review assistance.\nEnhance existing tools with LLM-driven features using enterprise guardrails including model routing/abstraction, privacy controls, and evaluation/feedback loops.\nBuild and integrate microservices; containerize and deploy to on-prem and cloud environments while adding observability and reliability features.\nIntegrate across multiple source control systems (e.g., Git, Perforce/Helix) and large monorepos to enable seamless cross-repo workflows.\nConnect with CI/CD and test systems (e.g., Jenkins, GitHub Actions) to surface actionable insights and automate development workflows.\nDefine success metrics; add telemetry and dashboards; present demos and outcomes to R&D leadership to showcase measurable productivity gains.\nUphold security, compliance, and data governance standards including SSO/RBAC and secrets management.\n\nWhat You'll Need\n\nCurrently 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.\nProficiency in Python and strong scripting skills.\nUnderstanding of SDLC and CI/CD principles; hands-on knowledge of Git.\nExperience building services/APIs and working with JSON/REST or gRPC; familiarity with containers.\nDemonstrated interest in AI/ML or LLM applications through coursework or projects; willingness to learn agentic frameworks and evaluation methods.\nStrong problem-solving and communication skills with a product-oriented mindset.\n\nPreferred Qualifications\n\nExperience with CI/CD tools (Jenkins, GitHub Actions) and artifact systems.\nFamiliarity with AI tooling infrastructure (LiteLLM, langchain, Chroma/pgvector DB).\nKnowledge of security/compliance basics (OAuth/OIDC, SSO, RBAC).\n\nWhat You'll Learn and Gain\nModern platform engineering: Gain hands-on experience with microservices, containers, Kubernetes, observability, and reliability engineering.\nPractical AI in the SDLC: Apply agentic workflows in mature, complex, large-scale software development environments.\nLegacy system modernization: Work on integrating with and re-architecting mature, mission-critical legacy frameworks used by thousands of engineers.\nDirect impact: Your work will influence thousands of engineers across high-revenue product lines, with the potential to see your prototypes productionized.\nCollaboration 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.\n\nKey Program Facts\nLocation: Sunnyvale, CA (Remote options available).\nWorking Model: Flexible hybrid or remote working arrangement.\nFull-Time/Part-Time: Part-time position.\nStart Date: Flexible based on candidate availability.\n\nEqual Opportunity Statement\n\nSynopsys 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.","company":"Synopsys","rawCompany":"synopsys","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-14T10:25:46.974Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intern (Technical-Engineering)","description":"We Are\nDrive 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.\n\nInternship Experience\nAt 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!\n\nMission Statement\nOur 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.\n\nAbout the Team\n\nThe 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.\n\nWhat You'll Be Doing\nPrototype agentic developer experiences that automate high-friction SDLC tasks such as code search, change impact analysis, test selection, build failure triage, and review assistance.\nEnhance existing tools with LLM-driven features using enterprise guardrails including model routing/abstraction, privacy controls, and evaluation/feedback loops.\nBuild and integrate microservices; containerize and deploy to on-prem and cloud environments while adding observability and reliability features.\nIntegrate across multiple source control systems (e.g., Git, Perforce/Helix) and large monorepos to enable seamless cross-repo workflows.\nConnect with CI/CD and test systems (e.g., Jenkins, GitHub Actions) to surface actionable insights and automate development workflows.\nDefine success metrics; add telemetry and dashboards; present demos and outcomes to R&D leadership to showcase measurable productivity gains.\nUphold security, compliance, and data governance standards including SSO/RBAC and secrets management.\n\nWhat You'll Need\n\nCurrently 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.\nProficiency in Python and strong scripting skills.\nUnderstanding of SDLC and CI/CD principles; hands-on knowledge of Git.\nExperience building services/APIs and working with JSON/REST or gRPC; familiarity with containers.\nDemonstrated interest in AI/ML or LLM applications through coursework or projects; willingness to learn agentic frameworks and evaluation methods.\nStrong problem-solving and communication skills with a product-oriented mindset.\n\nPreferred Qualifications\n\nExperience with CI/CD tools (Jenkins, GitHub Actions) and artifact systems.\nFamiliarity with AI tooling infrastructure (LiteLLM, langchain, Chroma/pgvector DB).\nKnowledge of security/compliance basics (OAuth/OIDC, SSO, RBAC).\n\nWhat You'll Learn and Gain\nModern platform engineering: Gain hands-on experience with microservices, containers, Kubernetes, observability, and reliability engineering.\nPractical AI in the SDLC: Apply agentic workflows in mature, complex, large-scale software development environments.\nLegacy system modernization: Work on integrating with and re-architecting mature, mission-critical legacy frameworks used by thousands of engineers.\nDirect impact: Your work will influence thousands of engineers across high-revenue product lines, with the potential to see your prototypes productionized.\nCollaboration 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.\n\nKey Program Facts\nLocation: Sunnyvale, CA (Remote options available).\nWorking Model: Flexible hybrid or remote working arrangement.\nFull-Time/Part-Time: Part-time position.\nStart Date: Flexible based on candidate availability.\n\nEqual Opportunity Statement\n\nSynopsys 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.","datePosted":"2026-09-14T10:25:46.974Z","dateModified":"2026-09-14T10:25:46.974Z","hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bbd10609f61480adeac8b319"},"url":"https://jobsearcher.com/jobs/bbd10609f61480adeac8b319"}}