Augmodo logo

Senior Computer Vision Engineer

Augmodo

United StatesJob$170–200K/yrPosted 1mo agoStill listed 2 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$170–200K/yr
Location
United States
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Augmodo seeks a tenured Computer Vision Engineer to lead technical efforts, bridging advanced research with production engineering to tackle challenging computer vision problems in complex retail environments, dedicating equal time to hypothesis-driven R&D and implementation, model optimization, and edge deployment.

Skills & qualifications

RequiredNice to have

Skills

Computer VisionDeep LearningImage RegistrationVisual-Language ModelsPyTorchTensorRTCUDADockerPythonC++Edge Deployment

Qualifications

Master's or Ph.D. In Computer Science or Related Field8+ Years Industry Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full 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

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.