Apple · 1 day ago
Motion Sensing AI Automation Engineer
San Diego, CA
Full-time
Onsite
Mid Level
$140K/yr - $258K/yr
3+ years expApple is seeking a Motion Sensing Automation Systems Engineer to join their Motion Sensing Hardware team, which develops AI/ML solutions for sensing technologies in consumer products. The role involves architecting and delivering scalable automation and AI/ML solutions, focusing on software systems that enhance hardware capabilities and provide data insights throughout the product development lifecycle.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Architect and deliver scalable automation and AI/ML solutions tailored to sensing hardware systems
Develop reusable software components and frameworks for data collection, processing, and analysis
Enable automated testing, failure prediction, and performance optimization of sensor systems
Apply expertise in software engineering, machine learning algorithms, and data science to build production-grade tools
Develop and maintain AI-driven data automation solutions, creating LLM-powered tools and classic data automation pipelines
Design flexible, maintainable solutions addressing current needs while anticipating future requirements
Design intelligent interfaces helping motion sensing engineers gather and interpret sensor data in real-time
Deploy AI systems for autonomous sensor characterization and data analysis
Build predictive models allowing designers to investigate the impact of varying performance parameters
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 output
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 context
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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Trends of Total Sponsorships
2025 (6998)
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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
Recent News
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2025-09-25
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