Senior Software Engineer

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.

Email resume to CieNet Technologies LLC [email protected].

• Master’s degree in Electrical Engineering or Computer Science.
• 3 years of experience in software development, testing, or ML infrastructure.