As a Software Engineer in AI Orchestration, 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.
Qualcomm is a global technology leader driving innovation to enable next-generation computing experiences. The company develops software platforms and tools that enable efficient execution of modern machine learning and generative AI workloads on Snapdragon systems.
Why required: To develop and maintain AI orchestration frameworks, SDK components, and tools for Windows and Linux.
How recruiters evaluate: The candidate should have strong programming skills in C and/or C++ to support ML inference and orchestration on Snapdragon platforms.
Why required: To develop software on Windows or Linux platforms.
How recruiters evaluate: The candidate should have hands-on experience developing software on Windows or Linux.
Why required: To work on ML workflow execution, including model loading, scheduling, and runtime integration.
How recruiters evaluate: The candidate should have introductory experience with machine learning or inference frameworks, such as ONNX Runtime, SNPE, QNN, LiteRT, or similar.
Why required: To work on ML workflow execution, including model loading, scheduling, and runtime integration.
How recruiters evaluate: The candidate should have introductory experience with machine learning or inference frameworks, such as ONNX Runtime, SNPE, QNN, LiteRT, or similar.
Why required: To work on scripting, testing, or tooling.
How recruiters evaluate: The candidate should have experience with Python and/or Java for scripting, testing, or tooling.
Why required: To work on version control systems and databases or storage systems.
How recruiters evaluate: The candidate should have familiarity with version control systems (Git) and basic experience with databases or storage systems such as SQLite or NoSQL.
Freshers with a degree in computer science, computer engineering, electrical engineering, or a related field can apply.
Experienced professionals with 1+ year of industry experience in software engineering can apply.
Graduates with a degree in computer science, computer engineering, electrical engineering, or a related field can apply.
B.Tech graduates with a degree in computer science, computer engineering, electrical engineering, or a related field can apply.
MCA graduates with a degree in computer science, computer engineering, electrical engineering, or a related field can apply.
Diploma holders with a degree in computer science, computer engineering, electrical engineering, or a related field can apply.
The average salary for a software engineer in India is around ₹8-12 lakhs per annum.
Freshers can expect a salary range of ₹5-8 lakhs per annum.
Experienced professionals can expect a salary range of ₹12-20 lakhs per annum.
Salaries can vary based on location, experience, and company size.
Contribute to the development of AI orchestration frameworks, SDK components, and tools for Windows and Linux.
Lead the development of AI orchestration frameworks, SDK components, and tools for Windows and Linux.
Architect and lead the development of AI orchestration frameworks, SDK components, and tools for Windows and Linux.
To improve C++ programming skills.
To learn machine learning concepts.
To learn Windows development environments.
To succeed in this role, you should have strong programming skills in C and/or C++, experience with machine learning or inference frameworks, and good problem-solving skills.
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Engineer - AI Orchestration (Windows)
Bangalore, Karnataka, India
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Job description
Company and benefits
Job ID
3086600
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
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.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
