Applied Machine Learning Engineer, Platform Architecture
Core
Build ML and generative AI systems to analyze hardware telemetry and optimize performance/power tradeoffs for Apple System-on-Chip (SoC) designs.
Role type
Senior IC Applied Machine Learning Engineer (Platform Architecture)
Builds
ML-driven workflows for SoC architectural exploration and tuning
Domain
Semiconductor hardware architecture + Machine Learning
Deliverable
production ML models
Required skills
Python, modern deep learning frameworks, time-series telemetry analysis, distributed model training, agentic frameworks, hardware/software partnership
Preferred skills
SoC subsystem knowledge (compute, memory, power management), C/C++ modeling, policy optimization, large-scale model iteration
Technologies
Python, deep learning frameworks, distributed clusters
Responsibilities
Design ML workflows to automate workload analysis; Apply deep learning to time-series data for architectural insights; Partner with hardware/software teams to implement changes on real silicon; Validate and ship performance/power improvements.
Seniority
Senior, hands-on IC
