Job Description

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Engineering Group
Systems Engineering

General Summary:

You will be part of Automotive System Performance Team in Bangalore that is responsible for hardware validation and optimizing the Machine Learning (ML) performance on Snapdragon Automotive and ADAS chipsets.

Responsibilities include:

• Work with Pre-Silicon teams for performance projections on ML networks and studying key industry benchmark/implementation options.
• Bring-up existing network models on Qualcomm chipsets, debug, optimize and validate the performance of Deep Learning hardware accelerators and DSP blocks.
• Correlate the ML performance measurements with projections and collaborate closely with global teams on systems performance characterization and tuning overall performance of CPU, GPU, DDR and DSP along with thermal\power tradeoffs.
• Enable and validate various profiling tools on ARM CPUs, DDR and DSP.
• Study the performance impact on networks during complex concurrencies and identify any bottlenecks.
• Design and support in developing Automation for ML benchmarks\testcases using Python.

Minimum Qualifications: 8+ years of industry System and Software experience in the following:

• Knowledge of Linux and/or QNX infrastructure and development tools, understanding of kernel vs user space, basic knowledge of compilers, running scripts, git source code control, Gerrit workflows
• Hands-on experience debugging hardware, software and embedded systems.
• Experience in profiling and optimizing software for ARM CPUs and/or GPU applications a plus.
• 3+ of experience in ML development\performance tuning.

Additional skills in the following areas are preferred:

• Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch, etc Experience debugging and evaluating performance/accuracy a plus.
• Knowledge on Computer architecture or bus profiling is plus.
• Fundamentals on any Automotive operating system like Linux/QNX & experience working on any Automotive applications.
• Experience and understanding of a variety Neural Network (NN) architectures including convolution neural networks, segmentation networks, neural machine translation, and recommender systems.
• Ability to adapt implementations to virtualization solutions and platforms.
• Experience in implementing Automation scripts using Perl or Python.
• Experience in doing competitive analysis on ML platforms is plus.

Education Requirements

Required: Bachelor's, Computer Engineering and/or Computer Science and/or related
Preferred: Master's, Computer Engineering and/or Computer Science and/or related

Keywords

Architecture Performance, System Performance, Automotive Performance, Benchmarks, Machine Learning, Thermal Performance, QNX, SNPE, TensorFlow, Pytorch, Caffe, Neural Networks

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

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.

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 .