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AI / ML

Engineer - AI Orchestration (Windows)

Qualcomm

1+ yrsOn-site · Bengaluru, Karnataka, IndiaFull-timeListed 2d ago
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About the role

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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…

What you will do

  • 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.

What they are looking for

  • 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.
  • Basic understanding of 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.

Nice to have

  • Hands-on experience developing software on Windows or Linux.
  • Basic knowledge of shared libraries (DLLs / .so files) or application/runtime integration.
  • Exposure to 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 (coursework or projects acceptable).
  • Interest in Generative AI and agentic AI systems.
  • Experience with Python and/or Java for scripting, testing, or tooling.
  • Familiarity with debugging tools and basic performance profiling.

Benefits

  • Mentorship from senior and staff-level engineers
  • Opportunities to grow into senior or staff engineering roles within Qualcomm
C++CMachine LearningGenerative AIInferenceData StructuresAlgorithmsObject-Oriented ProgrammingMakeCMakeVisual StudioGCCClangPythonJavaGit
Full posting text

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.

Required

Education Requirements

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. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, 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.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Employment type: Full-time

Job function: Other

Industries: Semiconductor Manufacturing

Semiconductor Manufacturing
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