Computer Vision Perception Engineer (Autonomous Driving)
Dice Job Match Score™
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Job Details
Skills
- vision algorithms for object detection and segmentation using camera and LiDAR data fusion. Develop deep learning models for 2D and 3D object detection
- including implementation and optimization of YOLO
- Faster R-CNN
- SSD
- and transformer-based architectures. Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation. Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy. Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN
- U-Net
- and DeepLab. Implement and optimize deep learning models specifically designed for LiDAR point clouds
- including PointNet
- PointNet++
- and other 3D neural network architectures. Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain
- snow
- fog
- and low-light scenarios. Build and maintain computer vision pipelines using OpenCV for image preprocessing
- feature extraction
- and geometric transformations. Design and implement multi-object tracking systems using Kalman filtering
- SORT
- and DeepSORT algorithms. Work with ROS2 for integration and deployment of perception algorithms.
Summary
Role: Computer Vision Perception Engineer (Autonomous Driving)
Position Type: Contract
Location:Detroit, MI ( onsite)
Job Description:
What You Will Do:
Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
Work with ROS2 for integration and deployment of perception algorithms.
Optimize deep learning models for edge deployment and real-time inference performance.
Develop robust evaluation metrics and testing frameworks for object detection systems.
Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
What You Will Bring:
Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
Extensive experience with OpenCV for image processing and computer vision applications.
Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
Experience with sensor fusion techniques for combining camera and LiDAR data streams.
Strong programming skills in Python and C++ for algorithm development and optimization.
Experience with model optimization techniques for real-time inference.
Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
- Dice Id: 91142794
- Position Id: 9111950
- Posted 14 hours ago
Company Info
About SSTech LLC
SSTech LLC specializes in IT consulting, focusing on understanding client needs and providing skilled professionals to meet those requirements. Whether it’s through project-based consulting, staff augmentation, or full-scale IT solutions, the firm likely works closely with clients to identify technology gaps and deliver the right talent and expertise.
SSTech LLC is a dynamic and rapidly growing IT staffing and consulting firm headquartered in Irving, TX. With years of experience in the industry, we specialize in delivering innovative technology solutions and augmenting our clients’ IT teams with top-tier professionals. We pride ourselves on our commitment to integrity, honesty, and excellence in service.
Founded on the core values of integrity, technological insight, and customer satisfaction, SSTech LLC has built a reputation for providing reliable, high-quality IT staffing solutions. Our team works closely with clients to understand their unique needs and ensure that the right talent is deployed at the right time, empowering businesses to achieve their technology goals.Whether you’re looking to expand your IT staff, implement a cutting-edge technology solution, or need specialized expertise for a critical project, SSTech LLC is your trusted partner in success
SSTech LLC provides premier IT staffing services designed to help businesses develop and deploy innovative IT solutions that reduce costs and enhance performance across large enterprises worldwide. Our primary focus is on building mission-critical business applications engineered for optimal performance, scalability, and reliability.
With a deep understanding of the complexities facing modern enterprises, SSTech LLC ensures that our IT solutions not only meet the current needs of our clients but are also flexible and scalable to adapt to future demands. We specialize in delivering high-performance systems that are built to scale predictably, while maintaining the highest levels of reliability, security, and efficiency.
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We are driven by core value and we are confident that when you select us as your IT Business Solutions Partner, we help businesses to move forward , faster by combining deep industry experience and frictionless technology delivery. Businesses today require transformational change at a scale and speed that defies traditional ways of working. We spark change through our digital transformation hub that delivers deep digital engineering and industry expertise through client-specific and integrated agile scrum teams.The SSTech LLC team is focused on delivering customer satisfaction by providing world-class IT services to the dynamic and developing high-technology market
SSTech LLC is a dynamic and fast growing company with headquarters in Dallas, Texas, USA. Through close relationships with partners , SSTech LLC has an extended presence in India.
