Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) - F

The MLIL FLOW team is looking for a Software Development Engineer to design and build automation, tooling, and monitoring systems for our next-generation ML accelerator servers. We build production software to validate, initialize, monitor, and qualify these servers - from first silicon through fleet-scale deployment. Our work spans hardware diagnostics, manufacturing test automation, CI/CD pipelines, operational dashboards, and data-driven fleet health monitoring.

Key job responsibilities
Design and develop software infrastructure - automation frameworks, deployment systems, and test orchestration platforms that run at scale across manufacturing and production environments.
Work cross-functionally with Hardware, Manufacturing, and EC2 teams to automate coordinated software delivery and qualification workflows.
Debug and root-cause hardware/software interaction failures using systematic data analysis and automation-assisted triage.
Build and own CI/CD pipelines end-to-end: from code

דרישות:

Basic Qualifications
- 3+ years of software development engineer or related occupational experience.
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or a related discipline or equivalent.
- Experience using Linux, demonstrating proficiency with associated tools or languages.
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks.
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Preferred Qualifications
- Experience building monitoring dashboards and data visualization (Grafana, CloudWatch, QuickSight, or similar).
- Experience with data pipelines, ETL, or analytics (S3, Athena, Spark, or similar).
- Experience with systems programming languages (C, C++, Rust).
- Familiarity with computer architecture concepts (PCIe, memory hierarchy, power management).