We're looking for software engineers 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 Windsurf IDE is the first code editor developed around AI flows, allowing developers to seamlessly use AI to develop anything from brand new apps to million line codebases. 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. What we're looking for <ul><li>Bachelors / Masters degree in computer science, mathematics or physics.</li><li>1+ years of Software Engineering experience.</li><li>Ideally attendance at a top university, or participation in programming contests.</li></ul>Challenges <ul><li>How do we develop a code generation and editing system capable of solving many everyday developer tasks?</li><li>What's the next big interface after autocomplete and chat for interacting with AI?</li><li>How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?</li></ul>What we believe <ul><li>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).</li><li>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.</li></ul>Recent projects Some of the things that our engineers have worked on recently: <ul><li>Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users.</li><li>Codeium Live: Chat in your browser with popular repositories.</li><li>An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs.</li><li>A code attribution service for customers who want to ensure any generated code is licensed properly.</li><li>Instruction and edit fine-tuned models for Codeium Command.</li><li>Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language.</li><li>Remote parsing, embedding, and indexing of users' codebases.</li></ul>

We're looking for software engineers 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 Windsurf IDE is the first code editor developed around AI flows, allowing developers to seamlessly use AI to develop anything from brand new apps to million line codebases. 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.
What we're looking for    Bachelors / Masters degree in computer science, mathematics or physics.
1+ years of Software Engineering experience.
Ideally attendance at a top university, or participation in programming contests.
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 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.

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We're looking for a high-performance ML-focused software engineer to join us on our mission to build AI superpowers for developers. We serve one of the largest scale and most demanding LLM applications in the world.<h3>About Codeium</h3>Featured on the <a href="#">Forbes AI 50 list</a>, 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.<h3>What you'll do</h3><ol><li>Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost.</li><li>Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability.</li><li>Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments.</li><li>Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work.</li></ol><h3>About you</h3><ol><li>Strong software engineering skills. There are no pure research scientists at the company.</li><li>Excellent quantitative, analytical and estimation skills.</li><li>Strong grasp of computer and networking architecture, particularly with GPU hardware and HPC networks.</li><li>Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus.</li></ol><h3>What we believe</h3><ol><li>Our best work is done in person. The team goes in 5 days a week into our office in downtown <a href="#">Mountain View, CA</a> (within walking distance of the Caltrain station).</li><li>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.</li></ol>
#J-18808-Ljbffr

We're looking for software engineers 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 Windsurf IDE is the first code editor developed around AI flows, allowing developers to seamlessly use AI to develop anything from brand new apps to million line codebases. 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.
What we're looking for Bachelors / Masters degree in computer science, mathematics or physics.
1+ years of Software Engineering experience.
Ideally attendance at a top university, or participation in programming contests.
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 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.

#J-18808-Ljbffr

We're looking for software engineer new grads 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 Windsurf IDE is the first code editor developed around AI flows, allowing developers to seamlessly use AI to develop anything from brand new apps to million line codebases. 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. What we're looking for <ul><li>Bachelors / Masters degree in computer science, mathematics or physics.</li><li>Ideally prior internships, attendance at a top university, or participation in programming contests</li><li>A self-starter. Hunger to dream up, plan, and execute tasks independently.</li></ul>Challenges <ul><li>How do we develop a code generation and editing system capable of solving many everyday developer tasks?</li><li>What's the next big interface after autocomplete and chat for interacting with AI?</li><li>How do we maintain reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages?</li></ul>What we believe <ul><li>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).</li><li>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.</li></ul>Recent projects Some of the things that our engineers have worked on recently: <ul><li>Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users.</li><li>Codeium Live: Chat in your browser with popular repositories.</li><li>An internal Kubernetes-native data processing framework to handle petabytes of data across thousands of spot CPUs.</li><li>A code attribution service for customers who want to ensure any generated code is licensed properly.</li><li>Instruction and edit fine-tuned models for Codeium Command.</li><li>Model inference performance optimization using Nvidia CUTLASS, CUDA C++, and PTX assembly language.</li><li>Remote parsing, embedding, and indexing of users' codebases.</li></ul>

We're looking for a high-performance ML-focused software engineer to join us on our mission to build AI superpowers for developers. We serve one of the largest scale and most demanding LLM applications in the world.
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.
What you'll do Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost.

Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability.

Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments.

Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work.

About you Strong software engineering skills. There are no pure research scientists at the company.

Excellent quantitative, analytical and estimation skills.

Strong grasp of computer and networking architecture, particularly with GPU hardware and HPC networks.

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.

#J-18808-Ljbffr

We're looking for a high-performance ML-focused software engineer to join us on our mission to build AI superpowers for developers. We serve one of the largest scale and most demanding LLM applications in the world. <h3>About Codeium </h3>Featured on the <a >Forbes AI 50 list </a>, 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. <h3>What you'll do </h3><ol><li>Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost. </li><li>Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability. </li><li>Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments. </li><li>Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work. </li> </ol><h3>About you </h3><ol><li>Strong software engineering skills. There are no pure research scientists at the company. </li><li>Excellent quantitative, analytical and estimation skills. </li><li>Strong grasp of computer and networking architecture, particularly with GPU hardware and HPC networks. </li><li>Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus. </li> </ol><h3>What we believe </h3><ol><li>Our best work is done in person. The team goes in 5 days a week into our office in downtown <a >Mountain View, CA </a> (within walking distance of the Caltrain station). </li><li>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. </li> </ol>#J-18808-Ljbffr

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