Embedded AI Engineer – Android Automotive (On-Device Intelligence)
Applied Intuitionabout 4 hours ago
Sunnyvale, CA, USA
Mid Level / Senior
H1B Sponsor
Base Salary
$150k - $250k/yr
Responsibilities
- Deploy and run production-grade ML inference and learning systems on Android Automotive.
- Implement on-device multimodal LLMs and design schemas for local vehicle APIs.
- Integrate models using TensorFlow Lite, ONNX Runtime, or vendor SDKs.
- Profile and optimize models for latency, memory, power, and thermal budgets.
- Instrument runtime performance across CPU, GPU, and NPU layers.
- Design safety boundaries and guardrails for model outputs.
- Interface with vehicle signals, sensors, and system services using C++ and JNI.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience shipping ML inference on embedded, mobile, or automotive platforms.
- Strong proficiency in C++ and experience with native Android integration (JNI).
- Expertise in model optimization techniques such as quantization and pruning.
- Experience integrating LLM function calling with structured outputs.
- Hands-on experience with Android system services or Android Automotive OS.
- Deep understanding of edge constraints including real-time behavior.
Benefits
- Comprehensive health, dental, vision, life, and disability insurance coverage.
- 401k retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.
Tech Stack
C++
Categories
AI & MLEmbeddedMobile