• Drive the end to end delivery of HarmonyOS Canva app • Build effective and efficient iOS components • Engage in technical and product design discussions • Contribute to defining, improving, and codifying best practices for mobile engineering

• Provide advanced judgement and analysis techniques to complete complex engineering designs, technical reports, specifications, and contract documents for electric distribution infrastructure. • Plan, schedule, and coordinate detailed phases of projects with other engineering disciplines and project management staff. • Monitor project performance to maintain efficient delivery, minimize risk, and meet budget and schedule requirements. • Provide technical guidance, mentoring, and quality reviews for junior engineering staff to support professional development and high-quality deliverables.

• Research and develop advanced state estimation and navigation algorithms to ensure assured Position, Navigation, and Timing (PNT) in contested environments. • Design, write, and deploy production-quality C++ software for aviation platforms requiring real-time, deterministic performance. • Build and maintain comprehensive unit, integration, and system-level tests to validate navigation software performance under operational constraints. • Develop modeling, calibration, and simulation tools for inertial and aided navigation technologies used in airborne platforms. • Participate in agile-based product planning, feature definition, capacity estimation, and cross-team collaboration. • Contribute to ongoing system performance evaluation, regression analysis, and V&V (Verification and Validation) efforts.

• Analyze various data sources and design processes for cleansing, consolidating, and preparing data for a single relational database; • Design, implement, and manage robust, scalable data pipelines; • Develop, optimize, and maintain databases and data warehouses; • Implement ETL/ELT processes to integrate multiple data sources; • Ensure data quality, security, and integrity throughout the data lifecycle; • Monitor performance, identify bottlenecks, and propose continuous improvements; • Collaborate with software engineering, data science, and business teams; • Stay up to date on best practices, tools, and trends in data engineering.