Embedded AI Engineer – Android Automotive (On-Device Intelligence)
$60k - $300k • Sunnyvale • FullTime
Posted 5mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Applied Intuition is seeking an Embedded AI Engineer to build on-device intelligence for a next-generation Android Automotive platform. This role is responsible for the entire lifecycle of embedded ML systems, ensuring models perform predictably and safely within production environments, adhering to real-world constraints like latency, thermal limits, and functional safety. The company is a leader in powering the future of physical AI, serving industries such as automotive, defense, and construction with solutions for tools, infrastructure, operating systems, and autonomy.
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.
- Design safety boundaries and guardrails for model outputs, including tool-call allowlists and fallback logic.
- Interface directly with vehicle signals, sensors, and system services using C++ and JNI.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical 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, pruning, and compilation.
- Experience integrating LLM function calling or tool execution with structured outputs.
- Hands-on experience with Android system services or Android Automotive OS (AAOS).
- Deep understanding of edge constraints including real-time behavior and memory pressure.
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off