Computer Vision Engineer Advanced Development & Planning

Introduction

Develop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.

Required Skills & Qualifications

• Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
• Strong background in Computer Vision and Machine Learning.
• Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
• Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
• Strong programming skills in Python and C++.
• Prior work experience at client or in client's Industry.
• Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
• Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.
• Experience with Generative AI and synthetic data generation.

Day-to-Day Responsibilities

• Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
• Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
• Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.

For immediate consideration please click APPLY to begin the screening process with Alex.