This role involves independently designing, developing, and debugging real-time embedded software, RTOS environments, and microcontroller firmware for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. The engineer will work on driver development, integration, testing, and validation of communication protocols and platforms, while also contributing to data collection frameworks, machine learning modeling, and embedded software algorithm improvements. Responsibilities include on-target development, tool and process optimization, customer support, technical documentation, and active participation in design reviews. The position requires a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
Software Gigs
Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities. Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.
Design, develop, and maintain software solutions that interface with coordinate measuring machines (CMMs) and metrology systems in advanced fabrication and inspection environments. Integrate CMM equipment with internal databases, MES, PLM, and ERP systems to streamline data collection and reporting. Develop automation routines, dashboards, and data visualization tools for measurement workflows, and troubleshoot CMM software and system issues. Work closely with manufacturing, quality, and engineering teams to translate GD&T requirements into repeatable software and measurement solutions, with 90% onsite presence required.
Lead the strategy and delivery of enterprise discovery informatics platforms for pharmaceutical research, translating scientific needs into scalable technology capabilities and product roadmaps. Partner with business stakeholders to analyze chemistry and computational science workflows, define IT requirements, and modernize lead discovery and optimization processes across multi-site teams. Manage portfolio strategy, identify technology gaps, drive data-driven and AI-augmented discovery workflows, and ensure measurable business impact through effective project execution and risk management.