Cognition

Applied AI lab building end-to-end software agents, starting with Devin (AI software engineer) and Windsurf (AI-native IDE), aiming to create collaborative AI teammates for complex real-world tasks.

Software Engineer role focused on building core agent infrastructure for AI software agents like Devin and Windsurf. Responsibilities include designing and shipping systems for tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution. Also involves improving the AI-native IDE, translating model capabilities into features, and ensuring reliability and performance at scale.

Research role focused on post-training and alignment of AI agents, shaping their behavior and capabilities for real-world usefulness and safety. Blends research and engineering to iterate on datasets, training stages, hyperparameters, and evaluation design, with a focus on understanding and advancing techniques like RLHF/RLAIF for long-horizon tasks.

This role focuses on the critical mid-training stage of LLMs, bridging pre-training and post-training. The goal is to sharpen raw base model capabilities in areas like reasoning, generalization, coding, and math through strategic data mix, quality uplift, annealing schedules, context length extension, and synthetic data generation. The role involves both research and engineering, with a strong emphasis on evaluation and iteration to ensure measurable capability gains for AI agents like Devin.

Research Engineer, Infrastructure role at Cognition, an applied AI lab building end-to-end software agents like Devin. The role focuses on building and owning the core systems that researchers depend on, including distributed training infrastructure, experiment orchestration, data pipelines, and tooling to accelerate research velocity. This involves ensuring systems are fast, reliable, and scalable for large-scale training jobs across thousands of GPUs, with a focus on performance optimization and parallelism strategies. The ideal candidate has deep experience in distributed systems, Python/C++, PyTorch, GPU profiling, and ML knowledge to engage with researchers.

This role focuses on enabling Global Systems Integrators (GSIs) to successfully deploy, scale, and deliver value with Cognition's AI agents (Devin and Windsurf) to their client base. The Partner Deployed Engineer will work closely with partners to build repeatable offerings, provide technical enablement, co-deliver pilots, and act as a technical representative within partner organizations, influencing the product roadmap based on field learnings.

This role is for an engineer at an applied AI lab focused on building end-to-end software agents, specifically for their product Devin (AI software engineer) and Windsurf (AI-native IDE). The role involves translating real-world customer pain points into product improvements and hands-on implementations, acting as a force multiplier by building internal tools and processes. It requires a strong engineering foundation and a founder mindset with high agency and initiative.

Applied AI lab building end-to-end software agents, specifically Devin (AI software engineer) and Windsurf (AI-native IDE). This role is for a foundational engineer in the federal group, focusing on deploying and integrating these agents within federal enterprise accounts, translating customer needs into product requirements, and architecting complex deployments.

This role focuses on enabling enterprise engineering teams to adopt and integrate AI software agents (like Devin) into their workflows. The engineer will lead workshops, guide customers, pair-program, identify high-ROI workflows, create enablement materials, and collaborate on scaling AI Enablement into a productized offering. It requires strong software engineering fundamentals, customer-facing experience, and the ability to teach and scale learnings.