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AI/ML Hardware Compiler Research Engi...

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AI/ML Hardware Compiler Research Engineer

Qualcomm Bengaluru, Karnataka (Onsite) Full-Time

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Responsible for deep learning compiler frameworks for Adreno AI accelerator.

Research, optimize and improve the compiler framework using hardware specific proprietary aspects.

Collaborate with hardware teams to analyze the hardware bottlenecks for ML workloads.

Recommend hardware recommendations that can benefit ML workloads on Adreno AI accelerator.

Collaborate with opensource communities and contribute.

Experience with Domain Specific Languages (DSL) compilers.

Experience with deep learning compiler frameworks like TVM(tvm.ai) or glow.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

bachelors or master’s in computer science, computer architecture, or related field

4+ years’ experience

Computer architecture, memory hierarchy and operating system knowledge.

Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

Understanding of Neural Networks / Deep Learning concepts (Computer vision and Natural language), knowledge of neural network frameworks (Tensorflow, TfLite, Pytorch, Onnx).

Experience in any compiler development with focus on middle-end or back-end optimizations like LLVM, MLIR.

Handon experience with OpenCL programming or similar (or CUDA) programming for accelerating ML workloads on accelerators.

Knowledge of embedded toolchains.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to 

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Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found

for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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

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Recommended Skills

  • Artificial Intelligence
  • Artificial Neural Networks
  • Backend
  • C++ (Programming Language)
  • Computer Architectures
  • Computer Vision

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