Amazon Kuiper Manufacturing Enterprises LLC
Technology
MACAutomation&AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“MAC Automation & Analytics Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Automation Engineering, Data Analytics, Manufacturing Processes. Develop and maintain automation solutions. Design and implement data pipelines”
What You'll Achieve.
Improve manufacturing efficiency; Reduce operational costs; Enhance data quality; Drive data-driven decisions
Industry & Context.
Root cause analysis; Troubleshooting; Analytical thinking
What They're Looking For.
Must Have
5+ years of experience in manufacturing, 3+ years of experience in automation, 3+ years of experience in analytics, Experience with Python, Experience with SQL, Experience with data visualization tools
Nice to Have
Experience with cloud platforms (AWS, Azure, GCP), Experience with machine learning frameworks, Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes), Experience with large-scale data processing frameworks (Spark, Hadoop)
What You'll Do.
Develop and maintain automation solutions
Design and implement data pipelines
Build and deploy analytics dashboards
Analyze manufacturing data
Identify areas for process improvement
Collaborate with cross-functional teams
Troubleshoot automation and data issues
Document automation processes and data models
How You'll Work.
Team & Collaboration
Cross-functional teams; Manufacturing engineers; Data scientists; Software developers
Communication Scope
Technical presentations; Data storytelling
Process & Methodology
Agile methodologies, Scrum
Full Job Description
Overview: We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases. Role Summary: The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow. Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention. Key Responsibilities: MAC Analytics Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations MAC Feature Automation Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments Build regression suites with comprehensive test
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