Engineer - AI Orchestration (Windows)

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 1+ year of industry experience (or strong internship/research experience) in software engineering. Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related field. Programming experience in C and/or C++. Exposure to Windows and/or Linux development environments. Platform & Systems Hands-on experience developing software on Windows or Linux. Shared libraries (DLLs / .so files) Application or runtime integration Exposure to cross-platform development concepts. Experience with Python and/or Java for scripting, testing, or tooling. Basic experience with databases or storage systems such as SQLite or NoSQL. Awareness of logging, monitoring concepts. Required Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related technical field. Coursework or projects related to machine learning, operating systems, or systems programming. Contribute to the development and maintenance of AI orchestration frameworks, SDK components, and tools for Windows and Linux. Assist in implementing and testing ML workflow execution, including model loading, scheduling, and runtime integration. Work on C/C++ codebases to support ML inference and orchestration on Snapdragon platforms. Help integrate and validate ML inference frameworks and runtime components. Participate in debugging, performance analysis, and issue resolution across system and application layers. Collaborate with senior engineers, ML teams, and platform teams to deliver high-quality software. Follow established software engineering practices, including code reviews, documentation, and unit testing. Continuously learn about ML systems, GenAI workflows, and heterogeneous computing architectures.