Senior Computer Vision Engineer

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, where mapping connects the digital and physical worlds. We build real-time spatial systems that give brick-and-mortar retail unprecedented physical intelligence.

Role Overview & Mission

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.

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.

Key Responsibilities

• 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.

Qualifications & Requirements

• 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

Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this role is $170,000 USD - $200,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status