Software Development Engineer - CV Test Infrastructure, Annapurna ML, CV Test Infrastructure (AWS)

Amazon; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Adoption and Surrogacy Reimbursement

Job summary

Amazon is seeking a Software Development Engineer to join the CV Test Infrastructure team in Annapurna ML. You will build and maintain automated validation infrastructure supporting chip verification across emulators, virtual platforms, and silicon prototypes, plus design diagnostic tools for rapid failure analysis.

The role emphasizes developing and enhancing CI/CD pipelines, web-based test management, and AWS-backed infrastructure, including EC2, DynamoDB, S3.

Qualifications

• Bachelor's degree in computer science, electrical engineering, or related field.
• 3+ years of programming experience (Python, Bash, or similar).
• Experience designing and building developer tools or diagnostic utilities.
• Strong experience with Linux environments and debugging complex systems.
• Experience with CI/CD concepts and tools (Jenkins, Git).

Responsibilities

• Design and develop diagnostic tools for analyzing test failures, hardware issues, and regression results across emulation, virtual platform, and silicon environments.
• Build and maintain automation frameworks for test execution across multiple platforms.
• Develop and enhance CI/CD pipelines for nightly regression and on-demand test execution.
• Develop and improve the Origami platform - a web-based system for test management, resource monitoring, and validation reporting.
• Automate emulator model build and release processes.
• Build dashboards and tooling for real-time visibility into regression results, resource utilization, and failure analysis.
• Manage and improve SLURM-based job scheduling infrastructure for shared compute resources.
• Collaborate with multiple verification and design teams to understand their diagnostic and automation needs.
• Maintain and extend AWS-based infrastructure (EC2, DynamoDB, S3) supporting the validation platform.

Skills

Python

Bash

Linux

CI/CD

Debugging

Diagnostic tools

Dev tools

Education

Bachelor's degree in CS or EE

Tools

EC2

DynamoDB

S3

Lambda

SQS

Jenkins

Git

SLURM

React

Node.js

Job description

We are looking for a Software Development Engineer to join the CV Test Infrastructure team within Amazon's Annapurna ML organization. You will build and maintain the automated validation infrastructure (Origami platform) that supports chip verification and validation across multiple engineering teams and hardware platforms — including emulators (ZeBu), virtual platforms (QEMU), and silicon prototypes. In addition, you will design and implement diagnostic tools that enable engineers to quickly identify, analyze, and resolve validation failures across complex hardware/software environments.

Key job responsibilities

• Design and develop diagnostic tools for analyzing test failures, hardware issues, and regression results across emulation, virtual platform, and silicon environments
• Build and maintain automation frameworks for test execution across multiple platforms
• Develop and enhance CI/CD pipelines for nightly regression and on-demand test execution
• Develop and improve the Origami platform - a web-based system for test management, resource monitoring, and validation reporting
• Automate emulator model build and release processes
• Build dashboards and tooling for real-time visibility into regression results, resource utilization, and failure analysis
• Manage and improve SLURM-based job scheduling infrastructure for shared compute resources
• Collaborate with multiple verification and design teams to understand their diagnostic and automation needs
• Maintain and extend AWS-based infrastructure (EC2, DynamoDB, S3) supporting the validation platform

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, or related field
• 3+ years of programming experience (Python, Bash, or similar)
• Experience designing and building developer tools or diagnostic utilities
• Strong experience with Linux environments and debugging complex systems
• Experience with CI/CD concepts and tools (Jenkins, Git)

Preferred Qualifications

• Experience building test automation frameworks and tools
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience building diagnostic/analysis tools for hardware or embedded systems
• Familiarity with SLURM or similar job scheduling systems
• Experience with web development (React, Node.js) for dashboard/tooling
• Familiarity with hardware verification/emulation environments
• Experience with log parsing, failure classification, and root cause analysis tooling

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

Preferred Qualifications

• Experience building test automation frameworks and tools
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience building diagnostic/analysis tools for hardware or embedded systems
• Familiarity with SLURM or similar job scheduling systems
• Experience with web development (React, Node.js) for dashboard/tooling
• Familiarity with hardware verification/emulation environments
• Experience with log parsing, failure classification, and root cause analysis tooling

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, TX, Austin - 143,700.00 - 194,400.00 USD annually

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https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

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