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  • Emplois similaires à : Embedded Intelligence Analyst
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Embedded AI Engineer - Android Automotive (On-Device Intelligence)Decisive Point • Sunnyvale, California, United States
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Embedded AI Engineer - Android Automotive (On-Device Intelligence)

Decisive Point
  • US
    Sunnyvale, California, United States
  • US
    Sunnyvale, California, United States
Postuler Maintenant

À propos

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.
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  • Sunnyvale, California, United States

Compétences linguistiques

  • English
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