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About the Team At DoorDash, design shapes how millions of people connect with their local economy and we put our customers at the center of our product strategy. Our design team crafts thoughtful experiences across the ecosystem, from consumers ordering their favorite meals to merchants growing their businesses and Dashers delivering with care. About the Role Design is changing faster than at any point in the last decade, and we’re building the team that defines what comes next. As a New Grad Product Designer, you’ll join and learn from designers shaping this new practice — one where AI is native to how you explore ideas, prototype, and ship. You’ll work on real projects that impact millions of customers, merchants, and Dashers, collaborating with product, research, data, and engineering to prototype your concepts, test with real users, and ship improvements to millions of people. You’ll join one of our core teams — Consumer, Merchant, Dasher, Ads & Promos, Customer Experience & Integrity. You’ll be paired with a dedicated manager and a mentor while being supported by a community of designers passionate about learning and helping each other grow. This is a full-time role starting in 2027 and relocation support will be available as needed. You're excited about this opportunity because you will… Grow faster than you thought possible – with a dedicated manager, a mentor, and a team invested in your development, you'll quickly grow to own design end-to-end: experiment with how AI evolves your work and process, and ship polished features that reach millions of users, merchants, and Dashers. You’ll use AI to explore divergent directions, build high-fidelity prototypes, and pressure-test ideas before they ship – leveraging this technology to help you shape how our product becomes smarter, more intuitive, and more human. You’ll have the opportunity to push the boundaries of our product and process. As part of an early class of new grads, what you figure out wo

About the Team At DoorDash, design shapes how millions of people connect with their local economy and we put our customers at the center of our product strategy. Our design team crafts thoughtful experiences across the ecosystem, from consumers ordering their favorite meals to merchants growing their businesses and Dashers delivering with care. About the Role Design is changing faster than at any point in the last decade, and we’re building the team that defines what comes next. As a Product Design Intern, you’ll get to work on real projects that impact our customers, merchants, and Dashers. You’ll collaborate with product, research, data, and engineering to prototype your concepts, test with real users, and ship improvements to millions of users. You will have the opportunity to join one of our core teams: Consumer, Merchant, Dasher, Ads & Promos, or Customer Experience & Integrity. Based on your skills, interests, and business priorities you’ll be paired with a dedicated manager and supported by a community of designers passionate about learning and helping each other grow. This will be a 12-week summer internship program hosted onsite at our San Francisco or New York City offices. There will be relocation support as needed. You're excited about this opportunity because you will… Drive a real project from early explorations to polished, shipped work that reaches millions of users. Use AI throughout your process — exploring divergent directions, building high-fidelity prototypes, and pressure-testing ideas — while helping shape how our product becomes smarter, more intuitive, and more human. Collaborate closely with designers, engineers, PMs, and researchers to identify opportunities and ensure high-quality implementation. Learn from a dedicated manager and a community of peers in a fast-paced, mission-driven environment that values curiosity, craft, and collaboration. We're excited about you because… You’re currently pursuing a degree in de

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Caching team owns every caching offering at DoorDash end to end, including ElastiCache (Redis/Valkey), Boulder (our KVRocks-based key-value store for high-QPS feature serving), Entity Cache (read Bill Shen’s engineering blog post, “ High-Performance Proxy Cache for DoorDash Services ”), and the Distributed Lock Service, plus the smart clients (asgard-redis, valkey-go) that sit in front of them. These systems back critical product surfaces across DoorDash, Wolt, and Deliveroo: the team runs roughly 400 ElastiCache clusters serving hundreds of millions of GET requests per second in aggregate, and Boulder, our offline-to-online feature store, serves billions of feature lookups per second at peak. About the Role The team owns provisioning of clusters and the smart clients that sit in front of them, baking in sensible defaults so that other engineering teams get a turnkey caching solution instead of having to run their own. You'll help drive Boulder's evolution to scale further, improve cost efficiency, enhance performance, and support real-time updates; re-platform the Distributed Lock Service onto a strongly consistent backend; and build the self-serve tooling and recommendation engine that let customers describe a workload (QPS, TTL, payload size, latency profile) and get the right backend without talking to a human. You'll go deep on cache invalidation, replication, sharding, compaction, and failover, while shipping the guardrails, automation, and observability that keep this scale operable by a small team. You must be located in San Francisco, Seattle, or the New York Metro Area for this hybrid position. You will report to the Engineering Manager on the Distributed Caching team within the Storage organization. You’re excited about this opportunity b