Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) - FLOW sub-team (Fleet Lifecy
Undisclosed company
Mid-levelFull-timeAI & ML
Confirmed open at the employer less than an hour ago · Posted yesterday
Requirements
linuxagile
Nice to have
monitoringgrafanadata pipelineetls3athenasparkcc++rustpcieasicfpga
Job description
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 commit through build, test, deploy, and production validation - driving fast, reliable software delivery for hardware teams.
Create data pipelines and analytics systems (ETL, aggregation, real-time reporting) that transform raw hardware test results into actionable engineering insights.
Develop monitoring dashboards, alerting systems, and data visualization tools for fleet health, yield tracking, and performance benchmarking.
Own features end-to-end: from design through implementation, testing, deployment, and operational excellence.
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 commit through build, test, deploy, and production validation - driving fast, reliable software delivery for hardware teams.
Create data pipelines and analytics systems (ETL, aggregation, real-time reporting) that transform raw hardware test results into actionable engineering insights.
Develop monitoring dashboards, alerting systems, and data visualization tools for fleet health, yield tracking, and performance benchmarking.
Own features end-to-end: from design through implementation, testing, deployment, and operational excellence.
Requirements:
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.
- 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).
- Advantage: experience with hardware bring-up, ASIC/FPGA validation, or manufacturing test development.
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.
- 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).
- Advantage: experience with hardware bring-up, ASIC/FPGA validation, or manufacturing test development.
This position is open to all candidates.
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