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Software Engineer
Cognition · San Francisco · New York City
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What Cognition asks for
From Cognition's Software Engineer ad, checked 3 Nov 2026.
Python and production codebases
Deep proficiency in Python, including writing clean, well-structured code and taking ownership of large-scale Python codebases in a production environment.
Distributed systems engineering
Deep experience building reliable and performant distributed systems, with a focus on correctness and production failure modes.
AI agent infrastructure
Designing and shipping core infrastructure for agents, including planning, tool use, context management, and sandboxed code execution.
Applied AI and developer tools
Previous experience working at a frontier AI lab, an applied AI company, or a developer tools company.
The ad asks for a BS, MS, or equivalent in Computer Science, Mathematics, or Engineering from a selective program. Based in San Francisco or New York City.
How the example answers the ad
Python and production codebases
“Refactored a core Python service, reducing end-to-end latency by 40% and cutting cloud infrastructure costs by $150k annually.”
Optimizing a core service to reduce latency and save $150k shows deep proficiency in Python within a production environment.
Distributed systems engineering
“Architected a distributed code execution infrastructure that supports 5,000+ daily concurrent tasks with 99.99% availability.”
Supporting 5,000 concurrent tasks at 99.99% availability shows experience building reliable and performant distributed systems.
AI agent infrastructure
“Designed and deployed custom context management modules for AI agents to improve long-term memory retrieval performance.”
Deploying context management modules for agents shows experience designing core infrastructure for agentic memory retrieval.
Applied AI and developer tools
“Engineered reliable distributed workers for large-scale data annotation pipelines, increasing daily throughput by 60%.”
Increasing throughput for annotation pipelines at Scale AI shows previous experience working at an applied AI company.
The whole example as text
Tyler Bennett · Senior Software Engineer
Summary
Software engineer with 6 years of experience building production-grade distributed systems and AI agent infrastructure. Manages large-scale Python codebases to deliver automated planning logic and sandbox environments for developer tools. Integrates large language model outputs into high-performance IDE workflows for thousands of active users. Optimizes system latency and resource utilization to improve overall developer velocity.
Experience
Senior Software Engineer · Datadog
San Francisco, CA · 2023 - Present
- Architected a distributed code execution infrastructure that supports 5,000+ daily concurrent tasks with 99.99% availability.
- Refactored a core Python service, reducing end-to-end latency by 40% and cutting cloud infrastructure costs by $150k annually.
- Shipped production-level integrations for an AI-driven IDE assistant that processes real-time LLM telemetry for developers.
Software Engineer · Scale AI
San Francisco, CA · 2021 - 2023
- Engineered reliable distributed workers for large-scale data annotation pipelines, increasing daily throughput by 60%.
- Designed and deployed custom context management modules for AI agents to improve long-term memory retrieval performance.
- Owned the migration of core internal tooling from legacy monolithic structures to a containerized microservices architecture.
Junior Software Engineer · Amazon
Seattle, WA · 2020 - 2021
- Developed core control software for warehouse robotics systems using Python and C++, enhancing operational efficiency by 15%.
- Executed performance tuning on high-throughput data processing scripts, resulting in a 25% reduction in runtime.
Education
MS in Computer Science · Stanford University
Stanford, CA · 2018 - 2020
- Maintained 3.9 GPA with a focus on Distributed Systems and Robotics.
- Awarded Graduate Honors for research in autonomous agent planning algorithms.
BS in Computer Science · University of Michigan
Ann Arbor, MI · 2014 - 2018
- Graduated Magna Cum Laude with 3.8 GPA.
- Led the university robotics club to a top-five national finish.
Skills
More Cognition roles like this one
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
What kind of products will I work on?
You will ship systems for Devin, an AI software engineer, and Windsurf, an AI-native IDE used by millions of developers.
What is the primary programming language?
Python is the primary language used across the codebase.
Where do I apply?
On the official Cognition posting, through the job link on this page.
What happens when I tailor my resume here?
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