Computer Vision Engineer

Reliance One, Inc. is seeking an innovative Computer Vision Engineer to develop next-generation AI-powered perception systems for intelligent mobility and automotive applications. This role focuses on researching, prototyping, and deploying advanced computer vision and machine learning solutions using state-of-the-art AI technologies. The ideal candidate is passionate about transforming cutting-edge research into real-world applications that power the future of connected and autonomous vehicles., * 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 and instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
• Build AI solutions utilizing Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
• Evaluate and adapt emerging AI research and open-source models for automotive and intelligent mobility applications.
• Integrate camera, vehicle, and sensor data to develop AI-driven perception systems.
• Develop and deploy AI software on embedded and edge computing platforms for in-vehicle applications.
• Design real-time perception systems optimized for compute, latency, memory, power consumption, and reliability.
• Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
• Prototype and evaluate end-to-end AI solutions on embedded hardware, research vehicles, and proof-of-concept platforms.
• Collaborate with researchers, software engineers, and systems engineers to deliver innovative AI solutions.
• Stay current with advancements in computer vision, multimodal AI, edge AI, and intelligent transportation technologies.

• Master’s degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical 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 experience in Python and C++.
• Experience reproducing and extending published AI and computer vision research.
• Familiarity with Linux development environments.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
• Experience with technologies such as CLIP, Segment Anything (SAM), DINOv2, BEV-based perception models, or similar cutting-edge vision architectures.
• Experience with Generative AI and synthetic data generation.
• Embedded Linux software development experience.
• Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or other inference optimization frameworks.
• Experience deploying AI models on edge devices and automotive computing platforms.
• Familiarity with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
• Experience with ROS/ROS2, sensor fusion, robotics, or autonomous vehicle systems.
• Automotive, robotics, autonomous systems, or intelligent transportation industry experience.
• Publications in leading AI, robotics, or computer vision conferences are a plus.

• Competitive pay of $70-$75/hour.
• Medical benefits beginning on Day 1.
• Paid Time Off and Paid Holidays.
• Opportunity to work on cutting-edge AI, computer vision, and autonomous mobility technologies.
• Collaborative environment focused on innovation and advanced research.
• Contribute to the future of intelligent transportation and next-generation automotive systems.