On-Device AI Engineer for Android Automotive

Decisive Point; Sunnyvale (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity options

401k retirement benefits

Comprehensive health insurance

Paid time off

Job summary

Decisive Point seeks a professional for developing on-device intelligence for Android Automotive. The role involves managing the lifecycle of embedded ML systems, optimizing performance under constraints, and integrating with vehicle APIs using C++. Ideal candidates will have a background in Computer Science or related fields, with at least 3 years of experience in ML deployment. Compensation ranges from $150,000 to $250,000 annually, accompanied by equity and comprehensive benefits.

Qualifications

• 3+ years of experience shipping ML inference on embedded, mobile, or automotive platforms.
• Deep understanding of real-time behavior and memory pressure.
• Hands-on experience with Android Automotive OS (AAOS).

Responsibilities

• Deploy production-grade ML inference systems on Android Automotive.
• Implement on-device multimodal LLMs and integrate models.
• Profile and optimize models for strict budget constraints.

Skills

C++ proficiency

ML inference experience

Android integration (JNI)

Model optimization techniques

Experience with LLM function calling

Understanding of edge constraints

Education

BS, MS, or PhD in Computer Science or related field

Tools

TensorFlow Lite

ONNX Runtime

Job description

Decisive Point seeks a professional for developing on-device intelligence for Android Automotive. The role involves managing the lifecycle of embedded ML systems, optimizing performance under constraints, and integrating with vehicle APIs using C++. Ideal candidates will have a background in Computer Science or related fields, with at least 3 years of experience in ML deployment. Compensation ranges from $150,000 to $250,000 annually, accompanied by equity and comprehensive benefits.