Lead the development and validation of embedded systems interactively with hardware and camera vendors, focusing on low-level debugging and tuning.

As a Computer Vision Engineer, you'll design and optimize algorithms for computer vision, develop systems for large-scale image datasets, and integrate with hardware teams to improve the computer vision pipeline.

Develop and manage large-scale, real-time ML infrastructure and data pipelines, optimize system performance, and automate ML development processes.

The ML Data Engineer will manage the entire data lifecycle for ML and CV development, evaluate ML models, and develop CI/CD for ML data pipelines.

As a ML Optimization Engineer, you will optimize and deploy CV algorithms on edge devices, ensuring performance and cost-effectiveness while collaborating with teams.