CW Computer Vision Engineer
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Overview
Remote
On-site
Compensation
$77-$77/hour
Job Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients worldwide.
Our client is a recognized prominent global enterprise in the automotive sector, listed among the top 50 companies in the Global Fortune rankings. As a leading player in the global automotive industry, our client manufactures vehicles in 27 countries and effectively markets them across over 170 countries and regions worldwide.
Position: CW Computer Vision Engineer
Location: Mountain View, CA 94043
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
Position Summary:
- 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.
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.
- Evaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.
- Integrate camera, vehicle, and sensor data to create innovative AI-driven applications.
- Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
- Design real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.
- Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
- Prototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.
- Develop software for deployment and demonstration in vehicle-based proof-of-concept platforms.
- Evaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.
- Collaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.
- Stay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.
Required 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++.
- Experience reading, reproducing, and extending recent AI/CV research publications.
- 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 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.
- Experience developing software on embedded Linux systems.
- Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.
- Experience optimizing and deploying AI models on edge devices and automotive computing platforms.
- Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
- Experience with ROS/ROS2, sensor fusion, or robotic/automotive systems.
- Experience in automotive, robotics, autonomous systems, or intelligent transportation systems.
- Publications in leading AI, robotics, or computer vision conferences are a plus.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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FAQs About CW Computer Vision Engineer Jobs at TekWissen LLC
What is the work location for this position at TekWissen LLC?
This job at TekWissen LLC is located in Mountain View, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at TekWissen LLC?
Candidates can expect a pay range of $77.03–$77.03 per hour for this role.
What employment applies to this position at TekWissen LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at TekWissen LLC?
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