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

Applied Intuition· Vehicle OS
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Sunnyvale$183k - $253kFull-timePosted 3mo ago

About the role

Role responsible for end-to-end lifecycle of embedded ML systems on Android Automotive, focusing on on-device intelligence under real-world constraints such as latency, thermal limits, and functional safety.

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

Qualifications

  • 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

Skills

Required:C++Android system services / AAOSML inference on embedded/mobile/automotiveModel optimization (quantization, pruning, compilation)LLM / on-device multimodal models

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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