San Francisco, CA, US
23 days ago
MTS, Developer Experience
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.
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