Windsurf

AI Support Engineer

San Francisco

Sponsorship not specifiedDetected 98 days ago

TypeScriptPythonJavaGoGitAWSGCPAzureCloud PlatformsDockerCI/CDLinuxLLMsCustomer SupportCommunication

About the role

You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms.
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.

Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
We are an applied AI lab building end-to-end software agents.
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.

4+ years of 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.
Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
Passion for AI, developer tools, and the future of software engineering.

Familiarity with LLMs, AI-assisted development tools, IDEs, or developer productivity platforms.
Experience debugging issues that span multiple layers of the stack, such as application logic, infrastructure, authentication, third-party APIs, networking, or deployment configuration.
Prior experience working directly with engineering teams to escalate, diagnose, and resolve product issues.

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.

Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.

Cognition is an equal opportunity employer.
We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

This listing is sourced directly from Windsurf's careers page and normalized into a canonical job model.