Akkodis · 10 hours ago
Robotics Engineer - Automotive Perception / AI / Computer Vision (Full Benefits Package)
Akkodis is seeking an innovative AI/Computer Vision Engineer (Robotics Perception) to join their dedicated team in the Detroit Metropolitan area. The role involves developing and optimizing algorithms for advanced robotic tasks in the automotive industry, utilizing techniques in AI, machine learning, and computer vision.
Information Technology & Services
Responsibilities
Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, tracking, etc
Create and optimize AI models for warehouse-specific tasks such as inventory tracking, object picking, and path optimization
Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems
Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots
Perform data collection, labeling, and preprocessing for training AI models
Optimize performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded hardware
Collaborate with robotics engineers to integrate AI and vision systems with sensors (cameras, LIDAR, etc.) and control systems
Test and validate AI models in both simulation and real-world environments
Document the development process, algorithms, and results for scalability and implementation
Qualification
Required
PhD graduate (or Masters (with thesis-based masters is preferred with 3+ years of experience) to include strong domain experience of AI/Deep Learning, perception, computer vision, localization for robotics applications
Computer Science, Electrical Engineering, or Robotics majors
Evidence of strong problem-solving in a dynamic and challenging environment
LIDAR or similar Laser, SLAM
AI and Machine Learning: Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking
Computer Vision: Strong understanding of image processing, feature extraction, and 3D perception techniques
Software Development: Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch)
Real-Time Systems: Experience with ROS (Robot Operating System) for real-time robotics applications and familiarity with deploying AI models on resource-constrained hardware and optimizing performance for real-time inference
Data Handling: Experience in data collection, labeling, and preprocessing for AI training
Problem Solving and Continuous Improvement: Strong analytical skills for developing solutions to emerging problems and always seeking opportunities for self-growth and improvement
Preferred
Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization
Familiarity with point cloud processing for 3D environment understanding and obstacle detection
Experience with GPU programming and CUDA for accelerating AI model inference
Knowledge of cloud-based AI services for data processing, training, or deployment
Understanding safety and compliance standards in industrial robotics and AI
Experience with robot arm and intel real-sense camera
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
EAP program
Commuter benefits
401K plan
Paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law
Holiday pay where applicable
Company
Akkodis
Akkodis provides digital engineering solutions for sustainable and innovative industries.
H1B Sponsorship
Akkodis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (141)
2024 (121)
2023 (67)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-11-10
Canada NewsWire
2025-11-06
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