Top Internships

Summer 2027 intern supporting real-time computer vision and machine learning systems for autonomous counter-drone platforms. Responsibilities include detecting, tracking, and classifying aerial threats; generating training data; building data pipelines; optimizing models for NVIDIA Jetson embedded hardware; and experimenting with sensor fusion, tracking robustness, and field performance. The role involves hands-on collaboration with engineers developing deployed defense systems.

Mechanical Engineering Interns will design, analyze, prototype, and test precision mechanical systems for autonomous defense hardware. Responsibilities include CAD design, tolerancing, structural and thermal analysis, hands-on prototyping, and testing. Interns will collaborate with electrical and manufacturing engineers to advance designs from concept through production. Candidates should be pursuing Mechanical Engineering or a related degree, have CAD experience, and demonstrate interest in precision mechanisms, robotics, or electromechanical systems.

Software Engineering Intern developing software for autonomous defense systems, including sensor integration, computer vision, real-time control systems, embedded Linux applications, and internal engineering tools. Interns may contribute to full-stack or backend projects supporting engineering, manufacturing, and field operations. The role is an on-site, hands-on summer internship in Austin with direct mentorship and ownership of production-impacting work.

Systems Engineering Intern supporting autonomous defense systems through requirements definition, systems integration, verification planning, testing, engineering analysis, modeling, simulation, and margin or budget analysis. The role is an on-site summer internship in Austin, Texas, collaborating directly with mechanical, electrical, software, and controls engineers on Bullfrog counter-drone systems.

Supports operational efficiency and cost-reduction initiatives, manages First Article Inspection priorities, analyzes manufacturing and supply chain bottlenecks, tracks on-time delivery metrics, conducts look-ahead reviews, and drives process improvements in sustainment operations. The intern collaborates with operational program managers and cross-functional teams while supporting root-cause and corrective-action activities.

A Product Design Intern will complete a 12-week project embedded on a Coinbase product team. Responsibilities include defining user needs, creating user flows and high-fidelity Figma prototypes, validating design concepts, presenting in critiques, collaborating with product managers, researchers, and engineers, and contributing front-end changes using AI-assisted coding tools. The intern will apply human-centered design methods to solve complex product challenges across mobile and web platforms.

Build dimensional data models, SQL-based data pipelines, datasets, dashboards, and data quality tests for Coinbase’s analytics infrastructure. Partner with stakeholders to support self-service analytics, investigate data issues, and use generative AI responsibly to improve development and documentation workflows. This is a 12-week summer 2027 internship with quarterly in-person working sessions.

Machine Learning Engineer Interns will develop, deploy, and operate production-scale ML models and pipelines. They will lead an end-to-end research-to-production project, apply modern ML techniques to blockchain and crypto use cases, collaborate with senior engineers and product teams, and present findings to stakeholders. The role requires doctoral-level machine learning research, model development experience with PyTorch or TensorFlow, production-quality Python skills, and software engineering fundamentals.

Data Science Interns collaborate with product and engineering teams to analyze data, build models, support A/B tests and causal inference studies, maintain analytical datasets and pipelines, and communicate actionable insights. The role involves solving complex business problems with senior data scientists and applying responsible generative AI to improve workflow efficiency, cost, and quality. This is a 12-week summer 2027 internship with quarterly in-person work sessions.

This 12-week internship involves owning product requirements, partnering with engineering, design, and data teams, and driving product launches. The intern will develop product strategy through user research, market and competitive analysis, define success metrics, analyze launch results, and build expertise in cryptocurrency and the onchain ecosystem.

Twelve-week software engineering internship building production crypto and blockchain products at Coinbase. Interns write tested code, collaborate with engineering, design, and product teams, participate in code reviews, own an end-to-end project, and learn blockchain concepts. Candidates need programming experience, problem-solving ability, familiarity with web, mobile, backend, or infrastructure development, and responsible generative AI usage with human oversight.

Support Coinbase’s finance product launch review program by coordinating cross-functional workstreams, tracking risks and deadlines, evaluating requirements and test transactions, maintaining launch dashboards and documentation, and improving processes through data, AI, automation, and standardized workflows. The intern will collaborate with Finance, Product, Engineering, Compliance, Legal, and Operations while supporting internal control adherence and financial analysis.

Supports the Employee and Workplace Experience team by improving employee programs and processes. Responsibilities include building program analytics dashboards, measuring engagement and ROI, identifying AI-assisted workflow automation opportunities, analyzing feedback and participation data, improving operational systems, and supporting change management and stakeholder communications.

Build and maintain data pipelines and scalable cloud infrastructure supporting analytics and machine learning. Integrate internal and external data sources, ensure data integrity, contribute to analytical investigations, document findings, and apply data governance, security, and performance optimization practices while collaborating with senior engineers and cross-functional teams.

This 12-week internship supports user research for Coinbase products, including Coinbase Cloud and developer tools. Responsibilities include planning and executing UX research, investigating complex product questions, producing research reports, and translating user insights into product and design recommendations. The intern will collaborate with researchers, designers, and product managers while developing foundational UX research skills and using generative AI responsibly.

Supports accounting operations including balance sheet reconciliations, journal entries, supporting schedules, month-end close, audits, internal controls, and accounting transformation projects. Collaborates with global accounting, tax, FP&A, treasury, and source-to-pay teams. The intern also contributes to system implementations, process improvements, and documentation while gaining exposure to digital asset and international accounting functions.

Product Manager Intern on Coinbase’s HR Technology team, owning initiatives from discovery through launch. Responsibilities include evaluating AI-powered tools, redesigning workflows, automating HR processes, gathering stakeholder feedback, piloting generative AI agents, analyzing product metrics, and communicating outcomes. The role partners with HR, IT, Security, and vendors to improve employee tools and build an AI-native HR organization.

Short-term quality internship for a student earning academic credit. The role provides structured work experience in an automotive manufacturing environment and is intended for a sophomore or junior studying engineering or a related technical discipline. Proficiency in Microsoft Word and Excel is preferred.

Finance Interns complete a 12-week summer placement within FP&A, accounting, financial services, go-to-market finance, treasury, or strategic finance. Responsibilities include analyzing financial data, building models, preparing insights, supporting budgeting and forecasting, assisting with month-end and quarter-close processes, conducting variance analysis, and partnering cross-functionally. Interns also participate in development workshops, networking, and mentorship programs.

Work with Vercel’s engineering team on end-to-end projects, including scoping, building, shipping, reviewing production code, debugging systems, and communicating progress. Interns will be mentored by experienced engineers and contribute to products used by customers. The role requires strong JavaScript or TypeScript skills, familiarity with AI tooling, independent problem-solving, written communication, and commuting to Vercel’s San Francisco office three days weekly.

Software Engineering Interns will own end-to-end projects, write and review production code, debug real systems, and collaborate with experienced engineers. They will work on products impacting Vercel customers, communicate progress asynchronously, and use AI tools effectively. Applicants must be pursuing a related degree, graduating in December 2027 or May 2028, demonstrate JavaScript or TypeScript proficiency, and be based in San Francisco with availability to commute Monday, Tuesday, and Friday.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Engineering intern supporting DRAM semiconductor test-structure development, layout, physical verification, simulation, electrical characterization, and data analysis. The role uses EDA tools and scripting languages to build and validate test structures, analyze silicon results, automate engineering workflows, and document technical findings. Collaboration with process integration, device engineering, characterization, and technology development teams is required.

Study photolithography modeling and simulation, develop AI workflows and scripts for OPC and RET tasks, analyze data, improve semiconductor process metrics, document best-known methods, and collaborate with photolithography and technology development engineers.

Supports EUV lithography and semiconductor manufacturing research through experiment design, cleanroom process coordination, metrology and process-data analysis, lithography performance evaluation, and process optimization. Projects may address photoresist performance, critical dimensions, registration, line width roughness, and patterning improvements. The intern communicates technical findings through reports and presentations, collaborates with multidisciplinary engineering teams, and applies AI-assisted tools to research and engineering workflows.