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# Computer Vision Engineer

- **Company:** AUGMODO INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Image Registration, Python (Programming Language), Language Modeling, Pytorch, Deep Learning, Containerization, Production Code, Machine Learning Operations, TensorRT, Docker
- **Published:** August 28, 2026
- **Apply:** https://jobs.ashbyhq.com/augmodo/8e865d2c-cccb-4c01-b1cb-0a74f1785a21

## About the Role

This role requires a combination of rigorous academic grounding (deep research experience/publishing) and battle-tested industry execution. You will spend roughly 50% of your time on hypothesis-driven R&D and evidence-based analysis and 50% on concrete implementation, model optimization, and edge deployment., * 8+ years of substantial industry experience delivering production-grade computer vision systems, paired with strong academic/research experience (Master's or Ph.D. level work in CS, Robotics, Electrical/Computer Engineering, or a related field).

 * Proven history of taking complex R&D/fundamental research and translating it into evidence-backed, production-grade pipelines.
 * Deep expertise in PyTorch, custom deep learning/graphics architectures, and Vision-Language Models (VLMs).
 * Hands-on experience with TensorRT, CUDA optimization, and low-level GPU acceleration.
 * Deep familiarity with Docker for reproducible ML environments.
 * Production-grade Python mastery; strong C++ capability for high-performance components.
 * Experience with dense image registration/warping algorithms.
 * Proven structured analytical approach to innovating in computer vision

## Description

Leads advanced computer vision R&D and production engineering for real-time retail edge deployments. Designs and optimizes deep learning, computer vision, and vision-language models; validates algorithms through evidence-based analysis; and deploys high-throughput, low-latency ML pipelines. Responsibilities include TensorRT and CUDA optimization, Docker-based cloud and embedded deployment, image registration and warping, and translating fundamental research into production-grade systems while providing technical leadership., We are seeking a tenured Computer Vision Engineer to serve as a technical thought leader alongside our engineering leadership. In this role, you will bridge advanced R&D with production engineering to solve some of the toughest, unsolved computer vision problems in complex retail environments., * Design, implement, and optimize state-of-the-art deep learning, computer vision, and visual-language models (VLMs) for real-world retail edge deployments.

 * Bridge exploratory research and production code, executing data-backed analysis to validate algorithm performance against real-world engineering risks.
 * Optimize neural network inference for high-throughput, low-latency execution using TensorRT and custom CUDA primitives.
 * Containerize and deploy robust ML pipelines using Docker across cloud and edge/embedded environments.
 * Embrace modern AI-assisted workflows (Copilot, code-assisted tooling) to maximize engineering throughput and team productivity.


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