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Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)

at Qualcomm

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted an hour ago

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Compensation
Not specified

Currency: Not specified

City
Not specified
Country
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**Senior Computer Vision Engineer: Specialize in Edge AI & SoC Co-Optimizationენი Develop and implement cutting-edge computer vision algorithms, optimizing for edge AI and System-on-Chip (SoC) hardware. Key responsibilities revolve around algorithm design and optimization, prototyping legs, and collaborating with cross-functional teams. Proven expertise in C++ and Python programming, along with experience in computer vision libraries (OpenCV, Caffe, TensorFlow), is essential. Familiarity with AI hardware (GPUs, TPUs, ASICs) and AI frameworks (ONNX, TensorFlow Lite) is required. Candidates should possess strong technical leadership skills and have 7+ years of relevant experience.**

No additional description provided.

Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)

at Qualcomm

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted an hour ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Senior Computer Vision Engineer: Specialize in Edge AI & SoC Co-Optimizationენი Develop and implement cutting-edge computer vision algorithms, optimizing for edge AI and System-on-Chip (SoC) hardware. Key responsibilities revolve around algorithm design and optimization, prototyping legs, and collaborating with cross-functional teams. Proven expertise in C++ and Python programming, along with experience in computer vision libraries (OpenCV, Caffe, TensorFlow), is essential. Familiarity with AI hardware (GPUs, TPUs, ASICs) and AI frameworks (ONNX, TensorFlow Lite) is required. Candidates should possess strong technical leadership skills and have 7+ years of relevant experience.**

No additional description provided.

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