Embedded AI Engineer – Android Automotive (On-Device Intelligence)

Tech Stack

Responsibilities

• Deploy and run production-grade ML inference and learning systems on Android Automotive (AAOS)
• Implement on-device multimodal LLMs, including schema design and safe dispatch to local vehicle APIs
• Integrate models using TensorFlow Lite, ONNX Runtime, or specialized vendor SDKs
• Profile and optimize models for strict latency, memory, power, and thermal budgets
• Instrument runtime performance across CPU, GPU, and NPU acceleration layers

Soft Skills

Benefits

• 401k
• Dental
• Disability Insurance
• Equity
• Flexible Hours
• Health Insurance
• Learning Budget
• Life Insurance
• Parental Leave
• Vision

Culture

Requirements