Additional Information
The Neuron team within Annapurna ML develops the software stack that powers AWS's custom AI training and inference chips (Trainium, Inferentia). Our team builds and operates the testing infrastructure and performance characterization systems that ensure every release meets quality and performance bars before reaching customers. We directly enable the velocity and reliability of Neuron software releases.
We are looking for a Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. You will build data pipelines that collect, process, and surface performance metrics - and dashboards that give engineers and leadership real-time visibility into regression detection, performance trends, and release readiness. Your work directly impacts how fast we ship high-quality software to customers running ML workloads on Trainium.
Key job responsibilities
- Design, build, and maintain automated testing infrastructure (Python) that validates Neuron compiler, runtime, and framework integrations across hardware targets
- Build and operate data pipelines that ingest performance benchmarks, test results, and system metrics from distributed test runs into centralized data stores
- Develop performance dashboards that surface regression detection, trend analysis, and release-readiness signals to engineering teams and leadership
- Create and maintain integration test frameworks that validate end-to-end model compilation, execution, and performance across Trainium configurations
- Build automated alerting and triage tooling that identifies performance regressions early and routes them to the right owners
- Collaborate with Compiler, Runtime, and Training teams to define performance benchmarks, SLAs, and quality gates for release criteria
- Extend testing infrastructure to support new model architectures, training workflows, and hardware generations as they come online