Engineer, Staff-AI and Machine Learning with embedded/C++

Qualcomm · Hyderabad · 4+ yrs experience · Posted 2026-04-25

Tech stack: C, C++, Java, Linux, Python

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About the role

Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
Responsibilities: - As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
- As a Qualcomm Software Engineer, you will
- design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs.
- Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
- These positions are strictly for AI/ML inference SDK development on embedded systems — not Applied AI, Data Science, or ML model training roles.
- Strong Embedded experience is mandatory.
- Job location: Hyderabad Team:
- Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets.
- The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on device without a need for connection to the cloud.
- Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.
- Master’s/bachelor’s degree in computer science or equivalent.
- Strong in C++ programming, Design Patterns and OS concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- Floating-point, Fixed-point representations and Quantization concepts.
- Excellent analytical and debugging skills.
- Good communication skills (verbal, presentation, written).
- Ability to collaborate across a globally diverse team and multiple interests.
- Strong understanding of SIMD processor architecture and system design.
- Proficiency in object-oriented software development and familiarity
- Familiarity with Linux and Windows environment
- Strong background in kernel development for SIMD architectures.
- Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
- Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
- Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.

Qualifications

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
- These positions are strictly for AI/ML inference SDK development on embedded systems — not Applied AI, Data Science, or ML model training roles.
- Strong Embedded experience is mandatory.
- Job location: Hyderabad Team:
- Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets.
- The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on device without a need for connection to the cloud.
- Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.
- Master’s/bachelor’s degree in computer science or equivalent.
- Strong in C++ programming, Design Patterns and OS concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- Floating-point, Fixed-point representations and Quantization concepts.
- Excellent analytical and debugging skills.
- Good communication skills (verbal, presentation, written).
- Ability to collaborate across a globally diverse team and multiple interests.
- Strong understanding of SIMD processor architecture and system design.
- Proficiency in object-oriented software development and familiarity
- Familiarity with Linux and Windows environment
- Strong background in kernel development for SIMD architectures.
- Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
- Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
- Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.

Responsibilities

- As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
- As a Qualcomm Software Engineer, you will
- design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs.
- Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

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