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    Job · 18994415

    Qualcomm logo

    Engineer, Principal

    Qualcomm · Bengaluru · onsite · Posted 28d ago

    Undisclosed10–15 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.
    Company
    Qualcomm India Private Limited
    Job Area
    Engineering Group, Engineering Group > Software Engineering
    Responsibilities
    • Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
    • Analyze and identify system level issues, interface with the software development, integration, and test teams
    • Lead high performing teams towards system design and deliverables.
    • Proven track record of leading teams in Machine learning software engineering.
    • Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.
    • Improve and optimize key Deep Learning models on Qualcomm AI 100.
    • Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.
    • Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.
    • Build software tools and ecosystem around AI SW Stack.
    • Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
    • Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
    • Optimize the entire deep learning pipeline including graph compiler integration.
    • Apply knowledge of software engineering best practices.
    Desirable Skills and Aptitudes
    • Deep Learning experience or knowledge LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.
    • Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
    • Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
    • Ability to work independently, define requirements and scope, and lead your own development effort.
    • Well versed with open-source development practices.
    • Strong developer with a research mindset strives to innovate.
    • Avid problem solver should be able to find solutions to key engineering and domain problems.
    • Knowledge of tiling and scheduling a Machine learning operator is a plus.
    • Experience in using C++ 14 (advanced features)
    • Experience of profiling software and optimization techniques
    • Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
    • Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
    • Experiences to run workloads on large scale heterogeneous clusters is a plus.
    • Hands-on experience with CUDA, CUDNN is a plus.
    Qualifications
    • Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
    • 10+ years Software Engineering or related work experience.
    • 10+ years experience with Programming Language such as C++, Python.
    Minimum Qualifications
    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
    4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

    Sourced from naukri

    Skills

    CudaFramework Developmentlinear algebracompilerCloud ComputingAutomotiveNatural Language Processingmathematical modelingdebuggingdeploymentAlgebracloudAlgorithmsJavaArchitectureDeep LearningArtificial IntelligenceMachine Learning

    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

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    Career growth

    3.2

    Work-life

    3.3

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