
AI/ML Engineer-Automotive
1 week ago
Job Requirements
We are looking for an experienced AI/ML Engineer to design, develop and deploy machine learning algorithms on embedded platforms for the next generation automotive infotainment systems. This engineer will work on Android / Linux based applications that will process various sensor data and external input at real-time to predict various vehicle conditions and adjust vehicle operations accordingly.
Roles & Responsibilities:
- Design, train, and optimize AI/ML models for real-time, edge-based deployment.
- Work with multi-modal data sources (audio, vision, sensor, telematics) to build robust AI systems.
- Develop end-to-end pipelines for data preprocessing, model training, evaluation, and deployment.
- Implement algorithms optimized for embedded and resource-constrained platforms
- Validate AI models with real-world automotive sensor datasets
- Perform model optimization (quantization, pruning) for deployment on embedded SoCs
- Collaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionality
- Stay up to date with AI/ML advancements and automotive industry trends
Work Experience
Required Skills (Technical Competency):
- 4–5 years of proven development experience in AI/ML for embedded device
- Strong expertise in deep learning frameworks (TensorFlow, PyTorch, ONNX).
- Practical experience with edge/embedded AI (NVIDIA Jetson, Qualcomm, ARM).
- Proficiency in NLP / Conversational AI / Speech interfaces ( ASR, TTS )
- Solid programming skills in Python and C++/Java for optimization and integration.
- Solid understanding of application development in embedded Linux / Android
- Familiarity with automotive standards, protocols such as CAN
- Good communication skills and great team spirit
Desired Skills:
- Experience working with embedded Linux, Automotive Android
- Knowledge of vehicle data interfaces (CAN, OBD-II, sensors).
- Exposure to MLOps pipelines and cloud platforms (AWS/GCP/Azure).
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