Senior Computer Vision Architect — Edge AI, VLMs, Equity

Augmodo; California (MO); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Job summary

Augmodo is at the forefront of spatial computing, building real-time spatial systems for retail. We seek a tenured Computer Vision Engineer to bridge R&D and production, tackling advanced CV and VLM challenges in complex retail environments.

The role balances hypothesis-driven research with hands-on implementation, model optimization, and edge deployment, working with PyTorch, TensorRT, CUDA, and Docker in cloud and edge setups. Excellent publication and production track records are valued.

Qualifications

• 8+ years of production-grade computer vision experience with strong research background.
• Proven history translating R&D into production pipelines.
• Deep expertise in PyTorch, VLMs, and CUDA optimization.
• Experience with TensorRT and GPU acceleration.
• Docker for reproducible ML environments; strong Python and C++.
• Image registration/warping expertise.
• Structured analytical approach to CV innovation.

Responsibilities

• Design, implement, and optimize models for real-world retail edge deployments.
• Bridge research and production code with data-backed validation.
• Optimize inference for high-throughput, low-latency performance.
• Containerize and deploy ML pipelines across cloud and edge.
• Embrace AI-assisted workflows to boost engineering throughput.

Skills

PyTorch

VLMs

TensorRT

CUDA optimization

Docker

Python

C++

Image registration

Structured analysis

Education

Master's or Ph.D. in CS/Robotics/ECE

Tools

Docker

Job description

Augmodo is at the forefront of spatial computing, building real-time spatial systems for retail. We seek a tenured Computer Vision Engineer to bridge R&D and production, tackling advanced CV and VLM challenges in complex retail environments.

The role balances hypothesis-driven research with hands-on implementation, model optimization, and edge deployment, working with PyTorch, TensorRT, CUDA, and Docker in cloud and edge setups. Excellent publication and production track records are valued.