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

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

About the role

We are building on-device intelligence for a next-generation Android Automotive platform. This role owns the end-to-end lifecycle of embedded ML systems, ensuring models behave predictably and safely in production environments under real-world constraints such as latency, thermal limits, and functional safety.

At Applied Intuition, you will:

• 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

We’re looking for someone who has:

• 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

Nice to have:

• Experience with Snapdragon Automotive, ARM Ethos, or specialized NPU pipelines
• Background in running quantized LLMs on-device using llama.cpp or TFLite transformers
• Familiarity with functional safety concepts (ISO 26262), sandboxing, or policy enforcement
• Experience bridging cloud‑trained models to resource‑constrained embedded runtimes

Compensation & Benefits

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of 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, and paid time off.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $150,000 - $250,000 USD annually.

Work Authorization

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.