Senior CV Engineer — Edge AI & Deep Learning (Remote)

D3 Embedded

West Henrietta (NY)

On-site

USD 121,000 - 175,000

Full time

3 days ago
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Benefits offered by this job

Medical and dental coverage
401k retirement contribution
Remote opportunities available
Flexible work schedules
Tuition assistance

Job summary

D3 Embedded is seeking a Senior Computer Vision and Deep Learning Engineer to design, train, and optimize deep learning models for image and video analysis, object detection, and sensor fusion on embedded and edge platforms. You will work across teams to transform product requirements into scalable architectures and real-time deployments.

The role requires 5+ years in CV/ML, proficiency in Python/C++, PyTorch and TensorFlow, and hands-on experience with Nvidia Jetson, CUDA, and ROS.

Qualifications

  • Master’s or PhD in Computer Vision, ML, CS or related field.
  • 5 years of industry experience.
  • Proficiency in Python and C++, and OpenCV.
  • Experience with PyTorch, TensorFlow, or similar frameworks.
  • Strong problem solving and collaboration skills.

Responsibilities

  • Research, develop, and deploy CV/AI solutions for perception challenges.
  • Translate feature requirements into design specs and architecture.
  • Deploy real-time CV/AI on embedded/edge platforms.
  • Lead full product life cycle from PoC to integration.
  • Mentor junior engineers and lead design reviews.
  • Collaborate with cross-functional teams on product strategy.

Skills

Python
C++
OpenCV
PyTorch
TensorFlow
Problem solving
Leadership
Communication

Education

Master's or PhD in Computer Vision / ML / CS

Tools

Nvidia Jetson
TensorRT
ROS
CUDA
GStreamer
Git
DVC

Job description

D3 Embedded is seeking a Senior Computer Vision and Deep Learning Engineer to design, train, and optimize deep learning models for image and video analysis, object detection, and sensor fusion on embedded and edge platforms. You will work across teams to transform product requirements into scalable architectures and real-time deployments.

The role requires 5+ years in CV/ML, proficiency in Python/C++, PyTorch and TensorFlow, and hands-on experience with Nvidia Jetson, CUDA, and ROS.

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