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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.
The Senior Software Engineer will be responsible for complex API integrations for connected vehicles. Duties include collaborating with cross-functional teams, automating build/deploy processes, enhancing existing software, and developing new solutions. Experience needed in Java, Spring Boot, and microservices, along with strong troubleshooting skills.
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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.
Support design tasks by collaborating with other designers to develop and finalize design criteria and sections. Apply manufacturability and assembly knowledge to component designs, document specifications, conduct NX analysis, and ensure high-quality releases. Stay updated on product trends and share lessons learned to enhance design practices.
The Staff Software Engineer will develop, maintain, and optimize embedded data Control Plane software for managing data collection in vehicles. Responsibilities include software architecture design, hands-on coding, QA testing, team mentorship, and establishing best practices in software development for a sustainable automotive future.
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