Principal Engineer, Computer Vision & Edge AI (Hardware & Software End-to-End Ownership)

qqr freight • United State

Remote Visa Sponsorship Relocation

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AI Summary

Lead the development of a cutting-edge computer vision and edge AI system for freight security, owning hardware deployment, real-time ML models, and data platforms. Build ruggedized capture hardware, on-device detection/classification/OCR, and cloud-based data pipelines for real-world freight monitoring. Requires hands-on experience shipping vision systems in harsh environments and fluency in edge computing, cloud infrastructure, and MLOps.

Key Highlights

First engineer to own end-to-end product: hardware, edge AI models, and cloud platform

Deploy ruggedized vision systems outdoors at highway speeds, day and night, with real-world impact

Full ownership of hardware decisions, model optimization, and fleet tooling with direct CEO reporting

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Key Responsibilities

Design and deploy ruggedized vision hardware (cameras, IR illumination, Jetson-class GPUs, cellular backhaul) for outdoor, unattended freight monitoring

Develop on-device ML pipelines for real-time vehicle detection, classification, and OCR at highway speeds (day/night)

Build high-volume data ingestion, entity resolution, and alerting systems for cloud-based freight monitoring platforms

Create auto-labeling pipelines, continuous retraining loops, and evaluation frameworks using real-world captures

Provision, manage, and update fleet hardware remotely with health monitoring and over-the-air updates

Technical Skills Required

Computer Vision Edge AI & Embedded Systems Machine Learning Operations (MLOps)

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Benefits & Perks

$220,000 to $280,000 base salary + 20-25% milestone-based bonus

Full relocation package to Fort Worth, Cincinnati, Austin, or fully remote (US) with HQ/field presence

Visa sponsorship (including H-1B transfers)

Funded hardware lab and field deployment budget from day one

Long-term equity/upside opportunities

Job Description

Freight fraud and cargo theft drain tens of billions of dollars a year from the US supply chain, and the industry still verifies trucks with paperwork. QQR Labs is building its first product where machine vision meets physical freight. The full scope and excitement of what we are building will be shared during the interview process.QQR Labs is the technology arm of QQR Freight, a platform whose sister companies include an asset-based motor carrier and a nationwide 3PL brokerage. We are not a pitch deck. There are trucks, lanes, revenue, and customers behind this, which means a real-world proving ground and a built-in first customer from day one.

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