engineering
Posted Apr 15AI Support Engineer
at Cognition
San Francisco, United StatesOn-site
Responsibilities
- - Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
- - Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.
Requirements
- WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.
- We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE.
- Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
- Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
- If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
- About the Role Cognition is building the AI software engineer of the future.
- As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments.
- This role goes well beyond basic support.
- We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues.
- This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day.
- experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
- - Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- - Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
- - Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports. -
- - Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.