CW Computer Vision Engineer

Job Location:

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

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:

Masters 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.

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 Fo...