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    Job · 18994405

    HYDERABAD · FULLTIME

    Embedded Ai Engineer

    Qualcomm logo

    Qualcomm

    Hyderabad · onsite · Posted 28d ago

    Sourced fromNaukri
    Undisclosed2–7 yrsfulltimeHyderabad

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    Section · 01

    About this role

    General 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.
    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 Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.
    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.
    Responsibilities
    • In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime. 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.
    Qualifications
    • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.
    Requirements
    • Masters/bachelors degree in computer science or equivalent.
    • 1- 15 years of relevant work experience in software development. (We have openings at multiple levels)
    • Strong in C++ programming, Design Patterns and OS concepts.
    • Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
    • Understanding of Generative AI models LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.).
    • 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.
    Important Note
    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.

    Sourced from naukri

    Section · 02

    Skills

    Design PatternscachingDesign SystemsLarge Language Models (LLMs)Embedded Systemsdebuggingdeploymentai hardwarecloudCommunication SkillsDigital TransformationAlgorithmsJavaArchitectureGenerative AiData ScienceArtificial IntelligenceMachine Learning

    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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