Software Engineer - Developer Division / CoreAI

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Join a fast-paced, high-impact team at the forefront of developer productivity and AI integration. As a Software Engineer in the DevDiv division, you’ll help create the next generation of development tools that empower millions of developers to bring their ideas to life more quickly and intuitively.

We’re looking for engineers who share our belief that AI will fundamentally transform software development and who are eager to help shape that future. You will collaborate with experienced engineers, engage with the open-source community, and contribute to platforms that redefine how developers build, debug, and ship software. Our work spans from high-level developer experience to deep technical systems that require a strong understanding of low-level programming concepts such as memory management, performance optimization, and system architecture.

We value engineers who enjoy digging into the fundamentals, whether it’s understanding how compilers work, optimizing runtime performance, or building scalable, efficient services from the ground up. At DevDiv, we foster a culture of experimentation, learning, and continuous improvement. We build tools that help developers work smarter, and we use the same tools ourselves to constantly improve how we build software.

This role is ideal for someone who combines strong software engineering skills with a passion for low-level technologies and a desire to use AI to enhance development workflows.

Qualifications

• Bachelor’s or master’s degree in computer science or a related field, or equivalent work experience.
• Solid programming skills in one or more of the following languages: C#, Java, C++, or Python.
• Passion for developer experience and an eagerness to understand what makes great tools.
• Excellent written and verbal communication skills with the ability to collaborate across diverse, distributed teams.

• Design and develop robust, scalable, and maintainable software components that power modern developer tools.
• Leverage AI-powered technologies (e.g., GitHub Copilot, LLM-based code tools) to accelerate engineering workflows and contribute to the development of AI-assisted features.
• Dogfood internal AI tools and platforms, providing feedback and insights to improve usability, reliability, and effectiveness.
• Collaborate with engineers across product teams and the open-source community to co-design and iterate on developer experiences.
• Participate in code reviews, architectural discussions, and agile ceremonies, fostering a culture of technical excellence and continuous learning.
• Research and experiment with emerging AI techniques and integrate them into everyday engineering practices to boost productivity.