Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Core
Design, develop, and deliver next-generation AI-powered smart cockpit solutions for automotive, creating context-aware in-vehicle experiences for drivers and passengers.
Role type
Principal Machine Learning Engineer (Automotive Edge AI)
Builds
Scalable AI architectures, on-device LLM orchestration, and multimodal AI features for vehicle cockpits.
Domain
Automotive / Embedded AI / Edge Computing
Deliverable
production ML models
Required skills
Machine learning, deep learning, AI system design, edge AI optimization (quantization, pruning, distillation), Python, C++, embedded AI lifecycle management, LLM/generative-AI orchestration, model fine-tuning, cloud platforms architecture, edge–cloud orchestration
Preferred skills
Automotive cockpit systems knowledge, on-device voice pipelines (ASR/TTS), inference-serving stacks on SoC/processors, user experience design for in-vehicle systems
Technologies
GPU/NPU SoCs, OTA updates, fleet telemetry, multimodal AI (voice, vision, sensor fusion)
Responsibilities
Define end-to-end architecture for AI-driven smart cockpit systems; Lead design and implementation of AI/ML pipelines and model optimization; Architect multi-model/LLM orchestration and on-device model adaptation; Design hybrid edge–cloud architectures; Integrate multimodal AI capabilities with real-time constraints; Establish data pipelines and AI evaluation frameworks; Drive technical program execution across architecture and integration workstreams.
Seniority
Principal, hands-on IC with strategic leadership
