26 full stack software engineer intern jobs at 20 companies in Livermore, CA
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Full Stack Software Engineer Intern - Winter 2027
San Francisco or New York City or Seattle
OnsiteInternship, Temporary
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in a Bachelor's or Master's in CS or related field, previous software engineering internship/Co-op experience (backend with Python; frontend with JavaScript, HTML/CSS), strong communication and problem-solving skills, graduation after internship.
Python, JavaScript, HTML, CSS, Slack, Microsoft 365
Netic: AI platform automating customer outreach and bookings for service businesses.
Experience building user-facing full-stack features with React, TypeScript, and Python; familiarity with databases and cloud infrastructure; strong communication and customer empathy.
Hilbert: AI-powered demand intelligence and growth analytics for consumer brands.
Experienced full-stack engineer with TypeScript, Node.js/Express, React, MongoDB experience; systems architecture, containerization (K8s), monorepo (Nx) familiarity; product-minded and able to build internal tooling and enterprise-grade secure systems.
Cohere: Provides enterprise-grade large language models and AI software platforms.
Enrolled in a post-secondary program; available for a full-time 3-6 month internship; remote; roles across frontend, backend, full-stack, and infrastructure.
Pylon: AI-native customer support platform for B2B companies.
Pursuing a BS/MS in computer science or related field, graduating Dec 2026–Summer 2027; willing to relocate to San Francisco; strong full‑stack fundamentals; internship or side projects preferred.
NextClerk: Automated revenue and billing software for subscription businesses.
Pursuing or recently completed bachelor's in CS or related field; experience with JavaScript/TypeScript and frontend frameworks; basic backend experience (Python/Node.js); familiarity with APIs, databases, and Git.
Broccoli: AI agents for home service business front-office operations.
Strong software engineering fundamentals, production-quality code, full-stack with backend focus, experience building internal tools or growth systems, comfortable in ambiguity and cross-functional work.
Full Stack Software Engineer - Camera & Photos Tools & AI Team
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Build internal imaging tools and end-to-end software using native Swift, modern web frontends, and Python backends; integrate AI/LLM models; collaborate with engineering and science teams to deliver reliable tools.
Chasi: AI revenue engine for construction equipment dealers.
1+ YOE1+ internships in production software; full-stack TS/React with backend; experience with LLMs; real-time systems; strong architectural judgment; customer-facing; ownership.
TubiNASDAQ: FOXA: Free ad-supported streaming service for movies and television.
8+ YOE8+ years software engineering experience; deep distributed systems expertise; strong full‑stack skills with Node.js/TypeScript, React/TypeScript, PostgreSQL/Drizzle ORM, and Python; experience integrating LLMs/AI into production systems.
Node.js, TypeScript, Express, React, PostgreSQL, Drizzle ORM, Python, OpenAI, Google Gemini, Claude Code, Codex, Cursor, MCP, LLM
TubiNASDAQ: FOXA: Free ad-supported video streaming service for movies and shows.
8+ YOE8+ years software engineering experience; deep distributed-systems and full-stack skills; Node.js/TypeScript, React/TypeScript, PostgreSQL (Drizzle ORM), Python; experience shipping production systems and working with OpenAI/Google Gemini APIs.
Node.js, TypeScript, Express, React, PostgreSQL, Drizzle ORM, Python, OpenAI, Google Gemini, Claude Code, Codex, Cursor, MCP, LLM
Anthropic: Developing safe and reliable artificial intelligence systems.
Technical background in full-stack or platform engineering, experience building internal tools or platforms, cross-functional collaboration, strong communication, and product-minded approach; bachelor’s degree or equivalent.
Chan Zuckerberg Initiative: Funds and builds technology to solve major societal challenges.
5+ YOE5+ years building production software, full-stack experience, LLM/agent development, API integrations, stakeholder collaboration, product delivery end-to-end.
Austin or Menlo Park or Washington or New York City
$171k-$240k/yrOnsiteFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
8+ YOEBachelor's degree or equivalent,8+ years building and shipping full‑stack projects,experience scaling internal tooling and driving multi‑team technical roadmaps,ability to communicate across global teams.
Member of Technical Staff (Software Engineer, Enterprise Adoption)
San Francisco or Seattle or New York City
$220k-$405k/yrOnsiteFull Time
Perplexity: AI-powered search engine providing conversational answers with citations.
4+ YOE4+ years software engineering experience, familiarity with enterprise/internal platforms, daily use of AI tools, proficiency with Python and modern agent stacks; strong product judgment and communication.
Clera: AI talent agent matching professionals with high-growth startup roles
0.5+ YOE6+ months production experience with React and TypeScript; hands-on experience with Cursor, Supabase, Prisma, and Typesense; full‑stack focus; currently pursuing a CS or related degree; willing to work 7 days/week and attend hacker-house periods.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Expertise in AndroidTV internals and security (Widevine, DexGuard, PlayIntegrity API, TEE); fluent in Java, C/C++, JavaScript, Linux shell scripting and CLI; embedded/full-stack systems experience; strong communication and collaboration skills.
Widevine, DexGuard, PlayIntegrity API, TEE, Java, C/C++, Linux shell script, JavaScript, CLI, AndroidTV APIs
Twelve Labs: AI foundation models for video search and human-like understanding.
Experienced backend engineer with strong Python or Go skills, system design, building zero-to-one internal products, working with large unstructured datasets, and full-stack capability.