Annapurna Labs
Technology
SoftwareDevelopmentEngineer-TestingInfrastructure&Performance,Trainium/Neuron
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron at Annapurna Labs. Skills: Software development, Distributed systems, Performance engineering, Cloud infrastructure. Design and implement scalable and reliable infrastructure. Develop and maintain CI/CD pipelines”
What You'll Achieve.
Improve system performance; Enhance system reliability; Reduce infrastructure costs; Ensure infrastructure security
Industry & Context.
Troubleshooting; Root cause analysis; Performance analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5+ years of experience in software development, Experience with large-scale distributed systems, Experience with performance analysis and tuning, Experience with cloud computing platforms (AWS, Azure, GCP), Experience with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines, Experience with monitoring and logging tools
Nice to Have
Master's degree or PhD in Computer Science, Experience with machine learning frameworks, Experience with distributed databases, Experience with network protocols, Experience with security best practices
What You'll Do.
Design and implement scalable and reliable infrastructure
Develop and maintain CI/CD pipelines
Build and manage monitoring and logging systems
Analyze and optimize system performance
Troubleshoot and resolve complex infrastructure issues
Collaborate with engineering teams to define infrastructure requirements
Ensure the security and compliance of infrastructure
Stay up-to-date with emerging technologies
How You'll Work.
Team & Collaboration
Engineering teams; Cross-functional teams
Communication Scope
Technical documentation; Presentations
Process & Methodology
Agile methodologies
Full Job Description
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 onli
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