EVA Systems Modelling Engineer

EVA Systems and modelling Engineering 

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
• Scripting in Python for Unit and System testing.
• Performing version control (Perforce) & code-tip maintenance using test automation
•  High performance computing experience
• ML applications and ML optimization experience
• ML compiler optimization capabilities through benchmark analysis and profiling
• Innovate new ML compiler and optimization algorithms
• 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

Minimum Skills

• Proficiency in  C/C++ 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
• Experience with any of Jenkins, Linux (csh/bash), Windows, Python and its ecosystem,
• Working Knowledge of Commercial Software development and SDLC processes.

Minimum Qualifications:
• Bachelor’s degree in Computer or Electrical Engineering, Computer Science, or related field.