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Senior Computer Vision Engineer - Edge Perception — Intel
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Machine Learning · Verified Opening #15

Senior Computer Vision Engineer - Edge Perception

business Intel location_on Hillsboro, OR (Hybrid) apartment Hybrid Full Time

Compensation

$145K – 205K/yr

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Published Date

3 weeks ago

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Work Arrangement

Hybrid • Hillsboro, OR

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Open Positions

3 openings

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Experience Level

Senior

overview Role Overview

About the opportunity

Deploy high-performance object detection, 3D segmentation, and depth estimation models on OpenVINO and NPU hardware.

Intel's Edge AI & OpenVINO team is hiring a Senior Computer Vision Engineer to develop perception models tailored for automated industrial inspection, smart retail, and robotics. You will convert and quantize PyTorch architectures to run at peak efficiency on Intel Core Ultra NPUs and Arc GPUs.
task Core Responsibilities

What you will do

  • check_circle Design lightweight CNN and Vision Transformer (ViT) models for real-time edge video processing.
  • check_circle Quantize models down to INT8 and FP8 precision utilizing OpenVINO toolkit optimizations.
  • check_circle Benchmark vision algorithms against target hardware power envelopes and frame-rate requirements.
  • check_circle Contribute bug fixes and acceleration algorithms to upstream OpenVINO GitHub repositories.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right 4+ years industry experience developing and optimizing computer vision models.
  • arrow_circle_right Strong hands-on mastery of C++, Python, OpenCV, PyTorch, and OpenVINO.
  • arrow_circle_right Solid understanding of spatial geometry, optical flow, and model pruning techniques.
code_blocks Technologies & Competencies

Skills & Tech Stack

Computer Vision OpenVINO C++ PyTorch OpenCV Edge AI
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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