Codeium is the modern coding superpower, a code acceleration toolkit built on cutting edge AI technology.

We believe there are too many parts of the modern coding workflow that are boring, tedious, or downright frustrating, from regurgitating boilerplate to poring through StackOverflow. We can use recent advances in AI to eliminate these parts, making it seamless to turn your ideas into code. With easy integration into editors, you can focus on being the best software developer, not the best code monkey.

Technology

Codeium

You need proficiency in a coding language, quick learning ability, teamwork, independence, full-stack skills, and familiarity with AI tools. Experience in AI/ML or systems is a plus.

You will develop a code generation system, maintain service reliability, deploy products, handle data processing, ensure code licensing, optimize model performance, and implement remote codebase indexing.

Mountain View

We're looking for a software engineer to join us on our mission to build AI superpowers for developers. About Codeium Featured on the Forbes AI 50 list, Codeium has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools. We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership. Challenges * How do we develop a code generation and editing system capable of solving many everyday developer tasks? * What's the next big interface after autocomplete and chat for interacting with AI? * How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages? What we're looking for * Strong proficiency with at least one of the coding languages. * Ability to learn and become an expert quickly. * A team player. * A self-starter. Hunger to dream up, plan, and execute tasks independently. * Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). * Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. * Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus. What we believe * Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). * Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical. Recent projects Some of the things that our engineers have worked on recently: * Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. * Codeium Live: Chat in your browser with popular repositories. * An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. * A code attribution service for customers who want to ensure any generated code is licensed properly. * Instruction and edit fine-tuned models for Codeium Command. * Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. * Remote parsing, embedding, and indexing of users' codebases. Compensation Range: $140K - $220K

We're looking for a software engineer to join us on our mission to build AI superpowers for developers.About CodeiumFeatured on the Forbes AI 50 list, Codeium has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.Challenges * How do we develop a code generation and editing system capable of solving many everyday developer tasks? * What's the next big interface after autocomplete and chat for interacting with AI? * How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?      What we're looking for * Strong proficiency with at least one of the coding languages. * Ability to learn and become an expert quickly. * A team player. * A self-starter. Hunger to dream up, plan, and execute tasks independently. * Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). * Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. * Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus.      What we believe * Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). * Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.      Recent projectsSome of the things that our engineers have worked on recently: * Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. * Codeium Live: Chat in your browser with popular repositories. * An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. * A code attribution service for customers who want to ensure any generated code is licensed properly. * Instruction and edit fine-tuned models for Codeium Command. * Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. * Remote parsing, embedding, and indexing of users' codebases.      Compensation Range: $140K - $220K

Software Engineer (New Grad) - Codeium

We're looking for a software engineer to join us on our mission to build AI superpowers for developers.&lt;br&gt;&lt;br&gt;&lt;strong&gt;About Codeium&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Featured on the Forbes AI 50 list, Codeium has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.&lt;br&gt;&lt;br&gt;We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.&lt;br&gt;&lt;br&gt;Challenges&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;How do we develop a code generation and editing system capable of solving many everyday developer tasks?&lt;/li&gt;&lt;li&gt;What's the next big interface after autocomplete and chat for interacting with AI?&lt;/li&gt;&lt;li&gt;How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;What we're looking for&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Strong proficiency with at least one of the coding languages. &lt;/li&gt;&lt;li&gt;Ability to learn and become an expert quickly. &lt;/li&gt;&lt;li&gt;A team player. &lt;/li&gt;&lt;li&gt;A self-starter. Hunger to dream up, plan, and execute tasks independently. &lt;/li&gt;&lt;li&gt;Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). &lt;/li&gt;&lt;li&gt;Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. &lt;/li&gt;&lt;li&gt;Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;What we believe&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). &lt;/li&gt;&lt;li&gt;Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Recent projects&lt;br&gt;&lt;br&gt;Some of the things that our engineers have worked on recently:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. &lt;/li&gt;&lt;li&gt;Codeium Live: Chat in your browser with popular repositories. &lt;/li&gt;&lt;li&gt;An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. &lt;/li&gt;&lt;li&gt;A code attribution service for customers who want to ensure any generated code is licensed properly. &lt;/li&gt;&lt;li&gt;Instruction and edit fine-tuned models for Codeium Command. &lt;/li&gt;&lt;li&gt;Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. &lt;/li&gt;&lt;li&gt;Remote parsing, embedding, and indexing of users' codebases. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Compensation Range: $140K - $220K

Software Engineer (New Grad)

You need strong coding proficiency, quick learning ability, teamwork skills, independence, and cross-stack experience. Familiarity with AI tools and experience in AI/ML or distributed systems is a plus.

You will develop code generation systems, optimize model performance, manage service reliability across platforms, and deploy features for users while working with large datasets and codebases.

We're looking for a software engineering intern to join us on our mission to build AI superpowers for developers. About Codeium Codeium has risen to become a leader in the AI developer tools space in over a year. Featured as the only code assistant tool on the Forbes AI 50 List, we are giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. Our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools. We're an experienced team that ships relentlessly. We welcome feedback to improve both our product and ourselves. We work hard, and we operate with a high degree of trust, agency, and ownership. Challenges * How do we develop a code generation and editing system capable of solving many everyday developer tasks? * What's the next big interface after autocomplete and chat for interacting with AI? * How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages? What we're looking for * Strong proficiency with at least one of the coding languages. * Ability to learn and become an expert quickly. * A team player. * A self-starter. Hunger to dream up, plan, and execute tasks independently. * Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). * Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. * Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus. What we believe * Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). * Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical. Recent projects Some of the things that our engineers have worked on recently: * Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. * Codeium Live: Chat in your browser with popular repositories. * An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. * A code attribution service for customers who want to ensure any generated code is licensed properly. * Instruction and edit fine-tuned models for Codeium Command. * Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. * Remote parsing, embedding, and indexing of users' codebases.

We're looking for a software engineering intern to join us on our mission to build AI superpowers for developers.About CodeiumCodeium has risen to become a leader in the AI developer tools space in over a year. Featured as the only code assistant tool on the Forbes AI 50 List, we are giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. Our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.We're an experienced team that ships relentlessly. We welcome feedback to improve both our product and ourselves. We work hard, and we operate with a high degree of trust, agency, and ownership.Challenges * How do we develop a code generation and editing system capable of solving many everyday developer tasks? * What's the next big interface after autocomplete and chat for interacting with AI? * How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?      What we're looking for * Strong proficiency with at least one of the coding languages. * Ability to learn and become an expert quickly. * A team player. * A self-starter. Hunger to dream up, plan, and execute tasks independently. * Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). * Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. * Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus.      What we believe * Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). * Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.      Recent projectsSome of the things that our engineers have worked on recently: * Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. * Codeium Live: Chat in your browser with popular repositories. * An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. * A code attribution service for customers who want to ensure any generated code is licensed properly. * Instruction and edit fine-tuned models for Codeium Command. * Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. * Remote parsing, embedding, and indexing of users' codebases.

Software Engineering Intern (Spring 2025) - Codeium

We're looking for a software engineering intern to join us on our mission to build AI superpowers for developers.&lt;br&gt;&lt;br&gt;&lt;strong&gt;About Codeium&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Codeium has risen to become a leader in the AI developer tools space in over a year. Featured as the only code assistant tool on the Forbes AI 50 List, we are giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. Our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.&lt;br&gt;&lt;br&gt;We're an experienced team that ships relentlessly. We welcome feedback to improve both our product and ourselves. We work hard, and we operate with a high degree of trust, agency, and ownership.&lt;br&gt;&lt;br&gt;Challenges&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;How do we develop a code generation and editing system capable of solving many everyday developer tasks?&lt;/li&gt;&lt;li&gt;What's the next big interface after autocomplete and chat for interacting with AI?&lt;/li&gt;&lt;li&gt;How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;What we're looking for&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Strong proficiency with at least one of the coding languages. &lt;/li&gt;&lt;li&gt;Ability to learn and become an expert quickly. &lt;/li&gt;&lt;li&gt;A team player. &lt;/li&gt;&lt;li&gt;A self-starter. Hunger to dream up, plan, and execute tasks independently. &lt;/li&gt;&lt;li&gt;Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data). &lt;/li&gt;&lt;li&gt;Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus. &lt;/li&gt;&lt;li&gt;Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;What we believe&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). &lt;/li&gt;&lt;li&gt;Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Recent projects&lt;br&gt;&lt;br&gt;Some of the things that our engineers have worked on recently:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users. &lt;/li&gt;&lt;li&gt;Codeium Live: Chat in your browser with popular repositories. &lt;/li&gt;&lt;li&gt;An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs. &lt;/li&gt;&lt;li&gt;A code attribution service for customers who want to ensure any generated code is licensed properly. &lt;/li&gt;&lt;li&gt;Instruction and edit fine-tuned models for Codeium Command. &lt;/li&gt;&lt;li&gt;Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language. &lt;/li&gt;&lt;li&gt;Remote parsing, embedding, and indexing of users' codebases.&lt;/li&gt;&lt;/ul&gt;

Software Engineering Intern (Spring 2025)

You must have strong coding proficiency, quick learning ability, be a self-starter and team player, and have experience with AI/ML or developer tools. Familiarity with stack development is a plus.

You will develop and maintain a code generation system, optimize model performance, handle data processing, and implement features for user interaction and code attribution across various platforms.

Codeium

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