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.
Requirements
- Proficiency in C/C++ coding and debugging
- Working Knowledge of Embedded systems and architectures
- 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.
Responsibilities
- 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
- Managing large codebase integration & testbench automation
Other
- 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
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field.
- 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.
- 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.
