Cognition

Security Engineer responsible for securing Cognition’s AI-native developer tools, including Devin’s arbitrary-code execution and Windsurf’s developer-environment integrations. The role combines hands-on security engineering, software development, cloud security, detection, and incident response.

Own the reliability of Cognition’s user-facing products, Devin and Windsurf, while building the platform, deployment infrastructure, and developer tooling that enable fast, dependable releases. This hands-on SRE role leads incident response, observability, infrastructure automation, and capacity planning at significant scale.

Research Engineer, ML Infrastructure will build and own the distributed systems, training infrastructure, data pipelines, and experiment tooling that power large-scale AI research. The role operates across thousands of GPUs and directly partners with researchers to improve training speed, reliability, and scalability.

Build polished, full-stack experiences for Devin, an AI software engineer, across IDE, web, and CLI products. You’ll own features end to end, shape agent UX, and work directly on agent infrastructure and tooling.

Build the infrastructure powering Cognition’s AI software agents, including sandboxed compute, orchestration, developer platforms, and reliability systems. You’ll own systems that operate at massive scale across Devin and Windsurf.

Build the core systems behind Devin and Windsurf, including agent infrastructure, tool use, planning, subagent orchestration, and sandboxed execution. This role tackles frontier applied-AI problems and ships reliable products used by millions of developers.

Deploy Devin directly into enterprise engineering organizations, building agentic workflows and driving measurable AI adoption. This customer-facing engineering role combines hands-on implementation, pair programming, technical enablement, and scalable playbook development.

Deploy Devin directly within enterprise engineering organizations, integrating agentic workflows and driving measurable productivity gains. This customer-facing engineering role combines software implementation, technical enablement, and scalable AI adoption strategy.