Embedded Computer Vision & Edge AI Engineer

Uncrewed Engineering Jobs; City of Rochester (NY); On-site; USD 107,000 - 155,000; Full time

Benefits offered by this job

Competitive compensation

Medical and dental coverage

401k retirement contribution

Remote opportunities available

Paid holidays and time off

Professional development assistance

Flexible work schedules

Snacks and beverages

Job summary

D3 Embedded is seeking a Computer Vision and Deep Learning Engineer to design, train, and deploy CV/AI models for embedded platforms. You will work on object detection, segmentation, and sensor fusion, applying PyTorch/TensorFlow and OpenCV in real-world deployments.

Ideal candidates have 0–5 years of relevant experience, strong Python/C++, and a collaborative mindset to drive product innovation across teams.

Qualifications

• BS/MS in Computer Vision, ML, CS or related field.
• 0-5 years of experience.
• Proficiency in Python and C++.

Responsibilities

• Research, develop CV/AI solutions for perception problems.
• Translate product requirements to design specifications.
• Deploy real-time CV/AI on embedded/edge platforms.
• Own full life cycle of new products from concept to integration.
• Collaborate with cross-functional teams on product strategies.
• Participate in all phases of product development cycle.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Transfer learning

Fine-tuning

End-to-end pipelines

Problem solving

Leadership

Communication

Education

Bachelor's or Master’s in Computer Vision, ML, CS or related field

Tools

NVIDIA Jetson

TensorRT

OpenCL

CUDA

GStreamer

ROS

Job description

D3 Embedded is seeking a Computer Vision and Deep Learning Engineer to design, train, and deploy CV/AI models for embedded platforms. You will work on object detection, segmentation, and sensor fusion, applying PyTorch/TensorFlow and OpenCV in real-world deployments.

Ideal candidates have 0–5 years of relevant experience, strong Python/C++, and a collaborative mindset to drive product innovation across teams.