Minimum qualifications:- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
- 5 years of experience in embedded systems, OS internals, or system architecture.
- 5 years of experience in embedded systems, OS internals, SoC architecture, Linux or RTOS subsystems, device drivers, board bring-up, and low-level system services.
- 5 years of experience in C/C .
- Experience driving technical requirements, evaluations, and prototyping with silicon and third-party software vendors.
Preferred qualifications:- Master's Degree or PhD in Computer Science, Computer Engineering, or Electrical Engineering.
- 5 years of experience with data structures and algorithms.
- Design experience with consumer hardware SoC architectures (MCU/CPU/DSP/NPU coordination).
- Proficiency in system profiling and tracing tools (e.g., Perfetto, ftrace) to analyze and resolve complex performance bottlenecks.
About the jobThe System Architecture team within Google Home defines and validates the foundational software architecture across first-party (1P) and partner smart home devices. We manage hard constraints at the boundary of silicon capabilities, embedded operating system (OS) layers, and real-time processing pipelines.
The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead architecture pathfinding, exploratory investigations, and proof-of-concept (PoC) software implementations to evaluate features and silicon architectures.
- Drive technical engagements and prototyping sprints with external SoC vendors and business partners, evaluating vendor reference software and steering roadmap alignments.
- Profile, diagnose, and optimize system-level resource utilization-specifically targeting DRAM/Flash footprint reduction, CPU load optimization, and end-to-end latency.
- Optimize embedded pipelines for real-time audio/video processing and on-device ML execution, identifying execution bottlenecks across CPU/GPU/NPU subsystems.
- Formulate architectural blueprints and trade-off analyses to influence internal cross-functional teams (hardware, platform software, Product Management) and external vendor engineering teams.
