Engineer - AI Orchestration (Windows)
Qualcomm · Bengaluru · onsite · Posted 28d ago
Undisclosed2–6 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job 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.
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.
- 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.
- Hands-on experience developing software on Windows or Linux.
- Basic knowledge of:
- Shared libraries (DLLs / .so)
- Application or 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 GenAI and agentic AI systems.
- 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).
- Basic experience with databases or storage systems such as SQLite or NoSQL.
- Awareness of logging, monitoring concepts.
- 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.
- Bachelors 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.
Sourced from naukri
Skills
cmakecomputer engineeringdebugging toolsInternshipbuild toolsCross-Platform DevelopmentData Structuresdebuggingelectrical engineeringCommunication SkillsAlgorithmsJavaGenerative AiGITLinuxArtificial IntelligenceMachine Learning
About Qualcomm
Qualcomm
Semiconductors
22k+
employees
1996
30 years old
San Diego,California
United States
About
Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
Industries
SemiconductorsHardware & Networking
Employee ratings
1,207 reviews
3.7/ 5
Culture
3.4
Career growth
3.2
Work-life
3.3
Employees rate it well for
Work Life Balance267Salary160Work Culture155Learning100Senior Management91
Find them on