GPU-Accelerated Embedded Engineer: C++, CUDA & Vision

Algoface; Carefree (AZ); On-site; USD 80,000 - 110,000; Full time

Job summary

Algoface is seeking a passionate Embedded System Developer in Carefree, Arizona. The role involves developing computer vision and machine learning systems for Nvidia Boards, utilizing your expertise in C++ and GPU programming (CUDA). You will collaborate with a team of R&D Engineers, focusing on translating C++ into optimized CUDA code and learning new Nvidia technologies. A Bachelor's or Master's degree in Computer Engineering or Computer Science is required, along with good communication skills and team collaboration in an Agile setting.

Qualifications

• 2+ years of industrial experience in GPU programming using CUDA.
• Experience in image processing or similar applications.
• Experience in Machine Learning and Neural Networks is a plus.

Responsibilities

• Work with R&D Engineers on computer vision and image processing projects.
• Translate C++ code into an optimized version using CUDA.
• Learn new Nvidia technologies for deep learning acceleration.

Skills

Fluency in C++ and OOP

Experience in GPU programming using CUDA

Strong understanding of Algorithms and Data Structures

Good communication skills in English

Agile team player

Education

Bachelor or Master degree in Computer Engineering or Computer Science

Tools

OpenCV

OpenGL/OpenCL

Job description

Algoface is seeking a passionate Embedded System Developer in Carefree, Arizona. The role involves developing computer vision and machine learning systems for Nvidia Boards, utilizing your expertise in C++ and GPU programming (CUDA). You will collaborate with a team of R&D Engineers, focusing on translating C++ into optimized CUDA code and learning new Nvidia technologies. A Bachelor's or Master's degree in Computer Engineering or Computer Science is required, along with good communication skills and team collaboration in an Agile setting.