Qualcomm is a global technology leader driving innovation to enable next-generation computing experiences. The Machine Learning Group develops software platforms and tools that enable efficient execution of modern machine learning and generative AI workloads on Snapdragon systems.
As a Software Engineer, you will contribute to the development of the Qualcomm Orchestrator SDK and related tools for Windows and Linux platforms. This role is ideal for an early‑career engineer who is eager to learn system‑level software development, ML runtimes, and AI orchestration frameworks while working closely with senior engineers and architects.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Key Responsibilities
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.
Minimum Qualifications
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 (e.g., 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.
Preferred Qualifications
Platform & Systems
Hands-on experience developing software on Windows or Linux.
Basic knowledge of:
Shared libraries (DLLs / .so files)
Application or runtime integration
Exposure to cross-platform development concepts.
Machine Learning & AI
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 (coursework or projects acceptable)
Interest in Generative AI and agentic AI systems.
Programming & Tooling
Experience with Python and/or Java for scripting, testing, or tooling.
Familiarity with debugging tools and basic performance profiling.
Exposure to version control systems (Git).
Data & Infrastructure (Nice to Have)
Basic experience with databases or storage systems such as SQLite or NoSQL.
Awareness of logging, monitoring concepts.
What You’ll Gain in This Role
Hands-on experience building production ML systems for Windows and Linux.
Exposure to GenAI workloads and agentic AI orchestration on edge platforms.
Mentorship from senior and staff-level engineers.
Opportunities to grow into senior or staff engineering roles within Qualcomm.
Education Requirements
Required
Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or a related technical field.
Preferred
Coursework or projects related to machine learning, operating systems, or systems programming.