Amazon Kuiper Manufacturing Enterprises LLC
Software Development, alexa and amazon devices
MACAutomation&AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“MAC Automation & Analytics Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Automation, Data analytics, MAC domain, ML-based anomaly detection. Design MAC Analyzer tool. Develop MAC Analyzer tool”
What You'll Achieve.
Democratizing MAC-level diagnostics; Ensuring robust automated validation
Industry & Context.
Problem areas; Actionable insights; Diagnostics
U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S.
What They're Looking For.
Must Have
3+ years software development experience, 2+ years design or architecture experience, 1+ years software development engineer experience, 1+ years C#, C++, Java, or Perl experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming with at least one language
Nice to Have
3+ years full software development life cycle experience, Background in wireless/MAC layer systems, Experience with telemetry data pipelines, Experience with observability tooling, Familiarity with statistical analysis, Familiarity with anomaly detection, Familiarity with time-series forecasting, Experience with release qualification processes, Experience with CI/CD integration
What You'll Do.
Design MAC Analyzer tool
Develop MAC Analyzer tool
Build analytical pipelines
Automate root cause analysis
Create intuitive interfaces
Design automated test framework
Develop automated test framework
Maintain automated test framework
Automate scenario-based testing
Build regression suites
How You'll Work.
Team & Collaboration
Cross-functional teams; Release team
Communication Scope
Communication skills
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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