Logo for Augmodo

Senior Computer Vision Engineer

Role overview

Qualifications

  • 8+ years of substantial industry experience delivering production-grade computer vision systems
  • Master's or Ph.D. level work in CS, Robotics, Electrical/Computer Engineering, or a related field
  • Deep expertise in PyTorch and Vision-Language Models (VLMs)
  • Hands-on experience with TensorRT and CUDA optimization

Responsibilities

  • Design, implement, and optimize state-of-the-art deep learning and computer vision models for retail edge deployments
  • Bridge exploratory research and production code, executing data-backed analysis to validate algorithm performance
  • Optimize neural network inference for high-throughput, low-latency execution
  • Containerize and deploy robust ML pipelines using Docker across cloud and edge environments

Key facts

  • Remote from: California (USA)
  • Full time
  • Senior (5-10 years)
  • Computer Vision Engineer
  • 170 - 200K yearly
  • English

Hard skills

Other skills

  • Analytical Thinking
  • Team Effectiveness

About the company

Augmodo logo

Augmodo

IT Services & IT Consulting

Spatial AI for commerce

Company details

Company typeSmall startup
IndustryIT Services & IT Consulting
Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Computer Vision Engineer Related jobs

Other jobs at Augmodo

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.