Software Gigs

Lead ADAS R&D software engineering efforts for autonomous vehicle perception and decision systems at Qualcomm. Design, develop, and optimize embedded software blocks including deep-learning-based camera perception, lidar/radar perception, multi-sensor fusion, object tracking, behavior prediction, trajectory planning, and vehicle control. Develop efficient middleware for sensor data sharing and SDKs enabling customer proof-of-concepts. Requires Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 7 years of related experience.

Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI, C#, XAML, and C++. Define best practices for Windows development, drive accessibility efforts across Microsoft UI Automation frameworks, and take full ownership of feature lifecycles from conception through maintenance. Collaborate with product designers, UX researchers, and QA to shape the Windows platform roadmap. Diagnose and resolve complex bugs, performance bottlenecks, memory leaks, and compatibility issues while mentoring other engineers and conducting code reviews.