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    Job · 13638964

    HYDERABAD · FULLTIME

    Engineer, Machine Learning Tools

    Qualcomm logo

    Qualcomm

    Hyderabad · onsite · Posted 57d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Job Summary
    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.
    Minimum Qualifications
    • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
    • Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
    • PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
    • 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.
    Job Description
    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!
    Responsibilities
    • In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs.
    • As an AI inferencing expert, you'll push the limits of performance from large models.
    • Your mastery in deploying large C/C++ software stacks using best practices will be essential.
    • You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment.
    • Most importantly, your passion for the role of edge in AI's evolution will be your driving force.
    Requirements
    • Master's/Bachelor's degree in computer science or equivalent.
    • 6+ years of relevant work experience in software development.
    • Strong understanding of Generative AI models including LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching, etc.).
    • Floating-point, fixed-point representations and quantization concepts.
    • Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
    • Strong in C/C++ programming, design patterns and OS concepts.
    • Good scripting skills in Python.
    • Excellent analytical and debugging skills.
    • Good communication skills (verbal, presentation, written).
    • Ability to collaborate across a globally diverse team and multiple interests.
    Preferred Qualifications
    • Strong understanding of SIMD processor architecture and system design.
    • Proficiency in object-oriented software development and familiarity with Linux and Windows environments.
    • 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.

    Sourced from naukri

    Section · 02

    Skills

    Design PatternsKernel DevelopmentCudacachingKernelDesign SystemsLarge Language Models (LLMs)Embedded Systemsdebuggingdeploymentai hardwarecloudCommunication SkillsDigital TransformationAlgorithmsJavaArchitectureGenerative AiArtificial Intelligence

    Section · Company

    About Qualcomm

    Qualcomm logo

    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

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