MAC Automation & Analytics Engineer, Leo MAC

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., 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., 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

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

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum., 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor’s degree in computer science or equivalent