MAC Automation & Analytics Engineer, Leo MAC

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 coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline

Qualifications:

Experience in software development with strong data analysis and test automation skills

Familiarity with database querying (SDN, telemetry, or similar systems)

Ability to translate complex engineering heuristics into algorithmic workflows

Experience building test frameworks and automation pipelines

Experience with machine learning frameworks and data processing at scale

Experience building tools or platforms used by cross-functional teams

Strong communication skills to work with domain experts and capture analytical approaches

Preferred:

Background in wireless/MAC layer systems or telecommunications

Experience with telemetry data pipelines and observability tooling

Familiarity with statistical analysis, anomaly detection, and time-series forecasting

Experience with release qualification processes and CI/CD integration