Senior Computer Vision Engineer - Remote + Equity

Augmodo Inc.; Northern (KY); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k

Equity

Job summary

Augmodo is seeking a tenured Computer Vision Engineer to serve as a technical thought leader, bridging advanced R&D with production engineering for retail edge deployments. You will design, implement, and optimize state-of-the-art deep learning and vision-language models, validate performance with real-world data, and deploy robust pipelines using Docker, TensorRT, and CUDA.

The role requires 8+ years of industry CV experience, strong PyTorch and C++, and a proven ability to translate research

Qualifications

• 8+ years of substantial industry experience delivering production-grade computer vision systems.
• Proven history of translating R&D into production-grade pipelines.
• Deep expertise in PyTorch, Vision-Language Models, and CUDA optimization.

Responsibilities

• Design, implement, and optimize state-of-the-art deep learning, computer vision, and visual-language models for real-world retail edge deployments.
• Bridge exploratory research and production code, validating performance against real-world risks.
• Optimize neural network inference for high-throughput, low-latency execution using TensorRT and CUDA primitives.
• Containerize and deploy robust ML pipelines using Docker across cloud and edge environments.
• Embrace modern AI-assisted workflows to maximize engineering throughput.

Skills

PyTorch

Vision-Language Models

TensorRT

CUDA optimization

Docker

Python

C++

Image registration

Structured analytics

Education

Master's or Ph.D. in CS/Robotics/EE/CE

Tools

Docker

TensorRT

CUDA

Job description

Augmodo is seeking a tenured Computer Vision Engineer to serve as a technical thought leader, bridging advanced R&D with production engineering for retail edge deployments. You will design, implement, and optimize state-of-the-art deep learning and vision-language models, validate performance with real-world data, and deploy robust pipelines using Docker, TensorRT, and CUDA.

The role requires 8+ years of industry CV experience, strong PyTorch and C++, and a proven ability to translate research