Top Software Engineer Jobs
The Industrial Engineer will use lean concepts to eliminate waste in manufacturing processes, optimize operations, conduct time studies, and maintain accurate workstation layouts. They will collaborate with production teams to drive continuous improvement efforts and design work operations that comply with safety and efficiency standards.
The role involves overseeing automation projects in automotive assembly plants, requiring in-depth knowledge of control systems and programming skills. Responsibilities include supervising project scopes, training suppliers, validating designs, performing root cause analysis, and coordinating globally. Key technologies include Rockwell PLC and Siemens HMI software, as well as Emulate 3D for modeling.
The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.
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As a Senior Prognostics Data Engineer, you will conduct failure mode analysis, analyze sensor data, develop health monitoring models, and collaborate on predictive maintenance solutions to enhance automotive prognostics systems.
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, conduct failure mode analysis, analyze sensor data using statistical techniques, develop health monitoring models, and optimize algorithms while collaborating with cross-functional teams to deliver high-quality prognostics solutions.
As a Senior Data Engineer, you will develop analytics-driven solutions for GM organizations, build analytical datasets, collaborate with Researchers and Data Scientists, automate data processes, and adopt cloud-first technologies. The role emphasizes the use of data engineering best practices while fostering a culture of continuous learning within the team.
The Principal Software Engineer for AI Platform will design, develop, and maintain AI/ML platform infrastructure, enhance capabilities for training complex models, and collaborate with cross-functional teams. Responsibilities include developing scalable infrastructure, monitoring resource utilization, improving platform usability, and maintaining tools for model versioning and experiment tracking.
The Principal Software Engineer will enhance the infrastructure for Machine Learning workloads, optimize Kubernetes and Kubeflow deployments, troubleshoot HPC issues, and collaborate with cross-functional teams. They will implement best practices for monitoring and ensure system reliability.
The Cloud Solution Architect will lead the development and execution of data architecture strategies, focusing on data assets and machine learning model deployment. Responsibilities include overseeing the integration of data products with applications, generating actionable insights, mentoring team members, and driving continuous innovation in data processes and technologies.
As a Cloud Solution Architect - Platform Operations Lead at General Motors, you'll develop and execute data architecture strategies, oversee data product creation, and lead machine learning model deployment. Collaborating with cross-functional teams, you'll integrate data into applications and dashboards, ensuring smooth functionality and monetization of insights from data assets. You'll also mentor a team and drive innovation in data architecture and analytics.
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