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Description

Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Autonomy organization, and we are looking for a driven and talented Member of Technical Staff to join us to build state-of-the art agents.

Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!

Key job responsibilities

* Design and implement a modern, fast, and ergonomic development environment for AI researchers, eliminating current pain points in build times, testing workflows, and iteration speed

* Build and manage CI/CD pipelines (CodePipeline, Jenkins, etc.) that support large-scale AI research workflows, including pipelines capable of orchestrating thousands of simultaneous agentic experiments

* Develop tooling that bridges local development environments with remote supercomputing resources, enabling researchers to seamlessly leverage massive compute from their IDEs

* Manage and optimize code repository infrastructure (GitLab, Phabricator, or similar) to support collaborative research at scale

* Implement release management processes and automation to ensure reliable, repeatable deployments of research code and models

* Optimize container build systems for GPU workloads, ensuring fast iteration cycles and efficient resource utilization

* Work directly with researchers to understand workflow pain points and translate them into infrastructure improvements

* Build monitoring and observability into development tooling to identify bottlenecks and continuously improve developer experience

* Design and maintain build systems optimized for ML frameworks, CUDA code, and distributed training workloads

About the team

The team is shaping developer experience from the ground up. Building tools that enable researchers to move at the speed of thought: IDEs that seamlessly shell out to supercomputers, CI/CD pipelines that orchestrate thousands of agentic commands simultaneously, and build systems optimized for GPU-accelerated workflows. Your infrastructure will be the foundation that enables the next generation of AI research, directly contributing to our mission of building the most capable agents in the world.

Basic Qualifications

- * 5+ years of experience in DevOps, release engineering, or developer tools/infrastructure

- * Expertise with shell scripting and command-line tools (bash, zsh, etc.)

- * Experience managing CI/CD systems such as AWS CodePipeline, Jenkins, CircleCI, or similar platforms

- * Hands-on experience managing code repositories and version control systems (GitLab, GitHub, Phabricator, etc.)

- * Proficiency in at least one programming language (Python, Go, Rust, or similar) for automation and tooling development

- * Experience building and maintaining developer tooling or infrastructure at scale

- * Strong understanding of containerization (Docker, containerd) and container orchestration

Preferred Qualifications

- * Experience with release management and maintaining large-scale software deployments

- * Knowledge of container build internals (Docker multi-stage builds, BuildKit, layer caching optimization)

- * Experience working with GPU infrastructure and CUDA development workflows

- * Background in IDE development or customization (VSCode extensions, JetBrains plugins, etc.)

- * Experience building development tools for machine learning or data science teams

- * Knowledge of ML frameworks (PyTorch, TensorFlow) and their build/dependency requirements

- * Experience with AWS developer tools and services (CodeBuild, CodeDeploy, CodeCommit, etc.)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $325,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.