Computer Vision Modeling Engineer

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General Summary:

Qualcomm Computer Vision Systems group provides Vision IP solutions for all of Qualcomm’s Snapdragon processors including mobile, automotive and VR/AR. The team’s scope includes computer vision algorithms, architecture design for CV accelerators and hardware modeling with power and performance optimization.

We seek Systems Engineers with demonstrable knowledge and hands-on experience with system modeling for design verification & validation, pre-silicon emulation support for FW & SW.

The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:

• Modeling of Computer Vision algorithms & architecture, including data flow, task partition, interface and systems interoperation

• Modeling in C/C++ under both Windows & Linux dev. environments

• Optimizing models on CPU for memory and run time performance

• Work on DSP or GPU optimization of computer vision algorithms

• Deploy simulation models acceleration on CPU / GPU through multi-threading, parallelization, or cloud deployment

• Scripting in Python for Unit and System testing.

• Performing version control (Perforce) & code-tip maintenance using test automation

• Managing large codebase integration & testbench automation

• Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization.

• Working within a fast-paced & collaborative environment with geographically & functionally distributed teams

• Available for business travel across APAC and other regions as required.

Qualifications

• Required: Bachelors in, Computer Science and/or Electrical Engineering

• Preferred: Masters or Doctorate, Computer Science and/or Electrical Engineering

Minimum Skills

• Proficiency in C/C++/Python coding and debugging

• Working Knowledge of Embedded systems and architectures

Preferred Skills

• Working experience with embedded accelerators, hardware component modeling, SoC Modeling

• Experience with computer vision and machine learning techniques

• DSP/Neon/GPU optimization and multi-thread programming

• Working experience in one or more of GPU, OpenMP/OpenCL, SIMD

• Additional working experience on CUDA

• Experience with any of Jenkins, Linux (csh/bash), Windows, Python and its ecosystem,

Minimum Qualifications:

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