Computer Vision Engineer

Job Description

Job Description

Computer Vision Engineer

Location: Mountain View, California (On-site)

Employment Type: Contract Opportunity

Pay: $70.00-$75.00/hour

Schedule: Full-time

Benefits: Medical Benefits Begin Day 1, Paid Time Off, Paid Holidays

Position Overview

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.

Key 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 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.

Required Qualifications

• 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.

Why Join This Opportunity?

• 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.

Reliance One, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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