Job Information
Cienet Technologies Senior Software Engineer in Warren, Michigan
Job Duties:
- Design, develop, and test infotainment system software in alignment with system architecture and program requirements.
- Implement and optimize test automation frameworks to ensure reproducibility across connectivity, navigation, and voice functions.
- Develop automation scripts and testing tools for automotive and AI platforms, applying debugging methodologies and validation practices.
- Build and maintain scalable ML model training infrastructure using PyTorch/TensorFlow, GCP, and GPU utilization to support distributed training and deployment.
- Fine-tune and deploy Transformer/LLM-based models, integrating natural language processing capabilities into infotainment features.
- Collaborate with cross-functional teams to integrate third-party software and hardware, ensuring compliance with automotive communication protocols.
- Analyze and resolve complex software defects through root cause investigation and corrective action planning.
Research and adopt emerging technologies in embedded systems, AI/ML, and cloud-native automation.
Knowledge and Skills Applied:
- Programming Languages: Python, C++, Java.
- Embedded Systems: Android Automotive (AAOS), Google Automotive Services (GAS).
- Test Automation: Robot Framework, XML configuration, Python scripting.
- Cloud & AI/ML Tools: PyTorch, TensorFlow, Google Cloud Platform (GCP), Docker, Kubernetes (K8s), MLOps pipelines.
- Infrastructure & Deployment: GPU utilization, distributed training, cloud-native infrastructure, containerization/orchestration.
- Simulation & Validation: Calibration techniques, debugging methodologies, reproducibility practices.
- Version Control & Issue Tracking: Git, Jira, ALM (Application Lifecycle Management).
- Automotive Infotainment Architecture: Multimedia, connectivity, and lifecycle management.
- Test Automation Design: Connectivity, navigation, and voice functions.
- Advanced AI: Transformer/LLM models for natural language processing and intelligent infotainment features.
- Automotive Communication Protocols: CAN, LIN, Ethernet AVB.
- Collaboration: OEM/Tier-1 supplier workflows, integration testing, and cross-functional communication.
- Defect Management: Root cause analysis, anomaly correction, and corrective action planning.
- Innovation & Research: Emerging tools, embedded systems, and AI/ML advancements.
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Master's degree in Electrical Engineering or Computer Science.
3 years of experience in software development, testing, or ML infrastructure.
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