Engineer, Staff-Machine Learning-Tools

Qualcomm · Hyderabad · 4+ yrs experience · Posted 2026-06-20

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

Apply on the company site · Get a referral for this role

Qualcomm salary & ratings · Qualcomm interview process · More live openings

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.
- Join the exciting Generative AI 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.
- Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!
- Master’s/Bachelor’s degree in computer science or equivalent.
- Floating-point, Fixed-point representations and Quantization concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- 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.
- Join the exciting Generative AI 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.
- Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!
- Master’s/Bachelor’s degree in computer science or equivalent.
- Floating-point, Fixed-point representations and Quantization concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- 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.

More openings at Qualcomm