Senior Computer Vision Engineer — Real-Time Retail AI/Edge

Augmodo; United States; On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Job summary

Augmodo seeks a tenured Computer Vision Engineer to bridge advanced R&D with production engineering for real-world retail edge deployments.

You will design, implement, and optimize deep learning and VLMs, while translating research into robust pipelines and deploying through Docker across cloud and edge environments. The role emphasizes performance, Python/C++ skills, and leadership in CV development.

Qualifications

• 8+ years of 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 (VLMs).
• Hands-on experience with TensorRT, CUDA optimization, and low-level GPU acceleration.
• Strong Docker experience for reproducible ML environments.
• Production-grade Python mastery and strong C++ for high-performance components.
• Experience with dense image registration/warping algorithms.
• Proven analytical approach to innovating in computer vision.

Responsibilities

• Design, implement, and optimize state-of-the-art deep learning, computer vision, and VLMs 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 and team productivity.

Skills

Computer Vision

PyTorch

VLMs

CUDA optimization

Docker

Python

C++

TensorRT

Edge deployment

Image registration

Education

Master's or PhD in CS/Robotics/ECE

Tools

CUDA

TensorRT

Docker

Job description

Augmodo seeks a tenured Computer Vision Engineer to bridge advanced R&D with production engineering for real-world retail edge deployments.

You will design, implement, and optimize deep learning and VLMs, while translating research into robust pipelines and deploying through Docker across cloud and edge environments. The role emphasizes performance, Python/C++ skills, and leadership in CV development.