Apple · 2 months ago
Motion Sensing AI Automation Engineer
San Diego, California, United States
Full-time
Onsite
Mid Level
$140K/yr - $258K/yr
3+ years expApple is a leading technology company known for its innovative products. The Motion Sensing Hardware team is seeking a Motion Sensing AI Automation Engineer to architect and deliver scalable automation and AI/ML solutions tailored to sensing hardware systems. The role involves developing reusable software components for data collection, processing, and analysis to enhance sensor system performance and reliability.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Develop and maintain AI-driven data automation solutions for the Motion Sensing team
Create and implement LLM-powered tools and classic data automation pipelines to streamline test execution, data acquisition, analysis, and presentation of results
Develop intelligent interfaces that help motion sensing engineers gather and interpret sensor data in real-time
Design and deploy AI systems that can assist in characterizing motion sensors, autonomously analyze and mine the resulting data, and generate insights to be presented to cross-functional teams
Drive root cause analysis of failures through AI-powered data analysis and visualization
Build procedures and AI-powered tools that unify and automate the way sensor data is gathered and analyzed
Use machine learning techniques on gathered test data to build predictive models for sensors that allow designers to investigate the impact of varying different performance parameters
Develop deep familiarity with sensor signal chains and software layers
Build proof-of-concept AI solutions and participate in showcasing and evaluating newest ideas
Track the adoption and effectiveness of AI and automation solutions, continuously refining them based on user feedback and evolving requirements from motion sensing engineering teams
Work closely with hardware engineers to understand their needs, translate technical requirements into software solutions, and iterate based on feedback
Qualification
Required
BS and a minimum of 3 years relevant industry experience
Data visualization and analysis: Development of tools for real-time data monitoring, statistical analysis of hardware performance metrics, and interactive dashboards for hardware teams
Experience with data processing pipelines and storage solutions for large hardware datasets
Strong object-oriented programming skills: Demonstrated proficiency in designing modular, extensible software architectures using OOP principles
Ability to create reusable component libraries, implement inheritance hierarchies for hardware abstractions, and develop clean interfaces between system components
Machine learning integration expertise: Experience applying classical ML techniques (regression, classification, clustering) to hardware performance data and sensor outputs
Ability to develop and deploy predictive maintenance tools, anomaly detection systems, and automated calibration solutions using established ML frameworks (scikit-learn, TensorFlow, PyTorch)
Understanding of fundamental AI/ML concepts and their practical applications in hardware contexts
Strong software architecture and development skills: Proficiency in multiple programming languages suitable for both low-level hardware interaction and high-level application development
Commitment to producing robust, maintainable, and well-documented tools that follow team coding standards
Excellent written and verbal English communication skills, particularly the ability to explain software concepts to hardware specialists and translate hardware requirements into software specifications
Preferred
Degree in Software Engineering, Electrical, Mechatronic or Computer Science
Large Language Model (LLM) implementation: Experience integrating LLMs for hardware documentation search, natural language interfaces to hardware diagnostic tools, and automated report generation from test data
Familiarity with prompt engineering, fine-tuning, and RAG techniques to make hardware knowledge more accessible to team members through conversational interfaces
Experience with neural networks, computer vision for inspection systems, and reinforcement learning for optimization problems
Experience integrating ML models into production hardware tools
Experience with lab automation frameworks and hardware communication protocols (I2C, SPI, UART, etc.)
Experience developing APIs that expose hardware functionality
Passion for continuously improving development methodologies and staying current with emerging technologies that can enhance hardware testing and development workflows
Collaborative mindset with experience working closely with hardware engineers
Familiarity with motion sensing technologies, magnetometers, and environmental sensors
Experience with Python, C++, infrastructure, server, firmware, and embedded systems
Knowledge of characterization, testing, and signal analysis methodologies
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2023 (3939)
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Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
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