[Hiring] Principal Engineer, Computer Vision & Edge AI @QQR Freight

Role Description

QQR Labs is hiring the first engineer on the product, and you will own it end to end:

• Ruggedized capture hardware: industrial cameras, IR illumination, Jetson-class GPU compute, cellular backhaul, weatherproof enclosures built for unattended outdoor duty
• On-device ML: detection, classification, and OCR on vehicles at highway speed, day and night
• The data platform: high-volume ingestion, entity resolution, search, alerting, APIs
• The data engine: auto-labeling pipelines, continuous retraining, and evaluation loops fed by real-world captures
• Fleet tooling: provisioning, over-the-air updates, and health monitoring for hardware deployed far from a desk

Qualifications

• You have shipped computer vision on real hardware in the real world, not just in a notebook.
• A camera-first mindset: multi-camera perception, vision-only stacks, and models that hold up in rain, glare, and darkness.
• Edge and embedded fluency: Linux on ARM, camera pipelines (GStreamer or similar), model optimization (TensorRT, ONNX, quantization).
• Cloud and data competence: Python, AWS or GCP, streaming ingestion, practical MLOps.
• You make hardware decisions, work without a playbook, and own outcomes.

Requirements

• If you have built vision systems that live outdoors or on vehicles at scale, you already know this class of problem.

Benefits

• $220,000 to $280,000 base, plus a 20 to 25% annual bonus tied to build milestones (first unit live in the field, accuracy targets, deployment count).
• Long-term upside beyond salary, covered in the interview process. We want an owner, not an employee.
• Full relocation to Fort Worth, Cincinnati, or Austin, or remote (US) with regular time at HQ and in the field.
• Visa sponsorship available, including H-1B transfers.
• A funded hardware lab and field deployment budget from day one.
• You interview with, and report to, the CEO.