The Software Development Engineer will join the CV Test Infrastructure team within Amazon's Annapurna ML organization. This role focuses on building and maintaining the automated validation infrastructure for chip verification across various engineering teams and hardware platforms. The engineer will design diagnostic tools to help identify and resolve validation failures in complex environments. Additionally, the position involves enhancing the Origami platform for test management and resource monitoring.

• Bachelor's degree in computer science, electrical engineering, or a related field
• 3+ years of programming experience in Python, Bash, or similar languages
• 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 such as Jenkins and Git
• Experience building test automation frameworks and tools
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, and SQS
• Experience building diagnostic or analysis tools for hardware or embedded systems
• Familiarity with SLURM or similar job scheduling systems
• Experience with web development using React or Node.js for dashboard and tooling
• Familiarity with hardware verification or emulation environments
• Experience with log parsing, failure classification, and root cause analysis tooling

• Design and develop diagnostic tools for analyzing test failures, hardware issues, and regression results across various 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 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 supporting the validation platform.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.