Embedded AI Engineer – Android Automotive (On-Device Intelligence)
AI 엔지니어정규직미드 · 3년 이상
차세대 Android Automotive 플랫폼을 위한 온디바이스 AI 시스템을 구축합니다. C++ 및 Android 시스템 서비스에 대한 깊은 이해를 바탕으로 임베디드 환경에서 ML 모델을 최적화하고 배포하는 역할을 수행합니다. 3년 이상의 임베디드 ML 배포 경험이 필수이며, 실시간 성능 최적화 및 안전한 모델 설계를 주도할 엔지니어를 찾습니다.
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
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.
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
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
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 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.
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.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.