Algorithms, Artificial Intelligence (AI), C++ Programming Language, Computer Programming, Computer Science, Computer Systems, Computer Vision, Deep Learning, Electrical Engineering, Leading Edge Technology, Machine Learning, Modeling Languages, Proof of Concept, Python Programming/Scripting Language, Robotics, Scene Understanding
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.