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Engineer - System solution AI Center of Excellence

2-4 years

₹ 11.25 - 30L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

Engineer - System solution AI Center of Excellence

Qualcomm

posted 6hr ago

Job Description



Job Area: Engineering Group, Engineering Group > Systems Engineering

General Summary:

As part of Qualcomm AI Systems Solution CoE (Center of Excellence) team, you will develop leading-edge products and solutions around best-in-class Qualcomm high-performance inference accelerators for cloud, edge and hybrid AI applications. In this role, you will be developing and delivering System solution software for requirements across automotive, cloud and industrial IoT BUs, and drive overall system solutions. This covers a broad range of technical tasks, starting from industry leading and customer specific use cases, a spectrum of technologies to define AI/ML system solutions, ML models optimization (including GenAI/ LLMs/ LVMs/ LMMs) and ensure efficient and scalable deployment on inference accelerators and edge devices of different formfactors (phone, IHH, AI PC, AI Appliance).

Qualcomm AI Systems engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is your opportunity to work on the leading-edge AI technologies and systems, current product and future roadmap designed for AI inference acceleration and to addresses unique requirements in energy efficient AI compute.

If you think you have what it takes to be part of team that develops world class ML systems software and your skill set matches with the below job description, we will be happy to discuss with you further.

About The Role :

Required Skills and Aptitudes

  • Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Pytorch 1.x, 2.x, TensorFlow, ONNX, etcâ"¦

  • Strong understanding of model architectures across CV, NLP, LLMs, LVMs and Multi-Modal NWs

  • Strong understanding and experience in working on inference graph optimization, Quantization, pruning and compression techniques etc.

  • Understanding of performance and accuracy metrics for different class of neural NWs

  • Detailed understanding of AI edge and server systems, infrastructure and industry standards

  • Hands-on Experience with Object Orientated Design, design patterns

  • Strong python / C++ implementation skills (Skill level > 7/10)

  • Strong in Data structures & Algorithms (Skill level > 7/10)

  • Hands on knowledge of LLM/ LVM fine tuning, Quantization aware training is a plus

  • Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus

  • Excellent analytical, development, and debugging skills


  • Desirable Skills and Aptitudes

  • Experience with GPUs, machine learning accelerators and related software is a plus

  • Hands on use of version control tools like GIT, GITHUB


  • Qualifications

    · Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.

    · 1 - 3 years Software Engineering or related work experience.

    Minimum Qualifications:
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.


    Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

    Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

    To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

    If you would like more information about this role, please contact Qualcomm Careers.

  • Employment Type: Full Time, Permanent

    Read full job description

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    What people at Qualcomm are saying

    3.3
     Rating based on 73 Engineer reviews

    Likes

    Has a good work culture and has great respect over employees

    • Salary - Excellent
    • +4 more
    Dislikes

    Have a very limited circle for learning due to work, deadlines etc

    Read 73 Engineer reviews

    Engineer salary at Qualcomm

    reported by 880 employees
    ₹9 L/yr - ₹37 L/yr
    262% more than the average Engineer Salary in India
    View more details

    What Qualcomm employees are saying about work life

    based on 950 employees
    84%
    93%
    78%
    96%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Qualcomm Benefits

    Free Food
    Cafeteria
    Work From Home
    Health Insurance
    Gymnasium
    Team Outings +6 more
    View more benefits

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