Augmodo
via Ashby
Senior Computer Vision Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-08-27). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$170k–200k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
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