Role overview
**Title: Robotic Software Engineer**
**Location: Warren MI**
**Contract: 12 months+**
**Pay Rate:**
**$40-$48/hr.**
**(The rate may be negotiable based on experience, education, geographic location, and other factors)**
Need candidate -
* Masters (thesis-based Masters is preferred) in Computer Science, Electrical Engineering, Robotics, or a related field.
* 3+ years' experience in domain of AI/Deep Learning, perception, computer vision, localization for robotics applications in US or EMEA.
* Evidence of strong problem-solving in a dynamic and challenging environment
* LIDAR or similar Laser, SLAM
**Job Description:**
* 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.
**Skills and Requirements:**
* **Education**
: PhD (or thesis-based master’s with 3+ years of experiences) in Computer Science, Electrical Engineering, Robotics, or a related field.
* **Experience**
: 3+ years experience in domain of AI/ML, perception, computer vision, localization for robotics applications.
* **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 seek opportunities for self-growth and improvement.
**Nice to Have:**
* 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 of safety and compliance standards in industrial robotics and AI.
* Experience with robot arm and intel real-sense camera.
**Equal Opportunity Employer/Veterans/Disabled:**
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance