Engineer - AI Orchestration

Qualcomm · Bengaluru, India

Qualcomm is hiring an early-career Software Engineer for AI Orchestration to develop SDKs, tools, and ML workflows for Windows and Linux platforms.

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.

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.
Basic understanding of data structures and algorithms, object-oriented programming, and software design principles.
Familiarity with build tools and development workflows such as Make, CMake, Visual Studio, GCC/Clang.
Good problem-solving skills and willingness to learn in a fast-paced environment.
Effective verbal and written communication skills.

Hands-on experience developing software on Windows or Linux.
Basic knowledge of shared libraries, application or runtime integration, and cross-platform development concepts.
Introductory experience with machine learning or inference frameworks such as ONNX Runtime, SNPE, QNN, LiteRT, or similar.
Familiarity with ML concepts such as model inference, execution graphs, quantization, or optimization.
Interest in Generative AI and agentic AI systems.
Experience with Python and/or Java for scripting, testing, or tooling.
Familiarity with debugging tools, basic performance profiling, and version control systems.
Basic experience with databases or storage systems, and awareness of logging and monitoring concepts.

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Coursework or projects related to machine learning, operating systems, or systems programming.