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
Requires 8+ years delivering production computer vision systems, advanced research experience, and Master's or Ph.D.-level work in a related field. Expertise in PyTorch, VLMs, TensorRT, CUDA, Docker, Python, and C++.
Key Responsibilities
- designing models
- optimizing inference
- deploying pipelines
Skills & Tools
PyTorch, TensorRT, CUDA, Docker, Copilot, Python, C++
Job Details
- Category: Engineering
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 170,000 – 200,000 / year
- Languages: English
Benefits
- 401k matching
About Augmodo
A spatial computing company connecting digital and physical worlds through real-time mapping systems. — Industry: Information Technology