Job code
IRC295016
Published on 7 Mai 2026

Senior Perception Engineer – Computer Vision & 3D Deep Learning IRC295016

Function

Technical Product Development / Research Operations

Experience

3-5 years

Location

United States - Northville, MI

Skills

C, Python, PyTorch, Self-learning on LiDAR data, Tensorflow

Work Model

On-site

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Description

Note: GlobalLogic estimates the starting pay range for this role to be performed onsite in Detroit, MI is $110,000 – $120,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

Requirements

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.).

Job responsibilities

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 we offer

Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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