Build on Trainium: Agentic, recursive improvement of kernels and frameworks call for proposals - Fall 2026

Supports research on agentic, self-improving systems that generate and optimize kernels and end-to-end workloads on AWS Trainium. Topics include generative AI for kernel optimization, performance debugging and profiling, correctness and integrity evaluation, and supervised or reinforcement learning of open-source models for kernel and system optimization. Proposed research should connect generation, evaluation and learning loops and explain plans for open-source contributions. Use the ARA proposal template; four pages excluding appendices are encouraged. Decisions are expected in February 2027.

Applications close on 4 November 2026 at 11:59pm Pacific Time.

Full-time faculty at an accredited academic institution or permanent researchers at a legally recognised non-governmental nonprofit. One primary-PI proposal per call period; co-PIs must also qualify. Amazon employment/contracting in the previous 12 months, specified household conflicts and Amazon cloud-procurement authority disqualify applicants. Government employees are excluded except university employees. Applicants must meet age-of-majority and programme rules.