AI Support Engineer

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. 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. Building Devin is just the first step—our hardest challenges still lie ahead. 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. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously. 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. You should be comfortable c [... source excerpt omitted ...] nering closely with engineering when deeper product investigation is required. This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day. Responsibilities Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups. Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures. Resolve a high volume of incoming technical issues while maintaining strong inves [... source excerpt omitted ...] alate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses. Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues. Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic. Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams. Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use. Q