Computer Vision Modeling Engineer, up to Staff

Company
Qualcomm Semiconductor Limited

Job Area
Engineering Group, Engineering Group > Systems 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.

Responsibilities
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

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Applicants
: Qualcomm is an equal opportunity employer. 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. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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