SoC Senior System Performance and Architecture Engineer, Silicon
Description For SoC Senior System Performance and Architecture Engineer, Silicon
Google is seeking a Senior System Performance and Architecture Engineer to join their Silicon team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines hardware expertise with machine learning, specifically working with Tensor Processing Units (TPU) and system optimization. The position requires deep technical knowledge in chip design, performance analysis, and machine learning implementations.
The ideal candidate will work at the intersection of hardware and AI, optimizing system performance and power efficiency for Google's next-generation hardware experiences. They will collaborate with cross-functional teams to analyze and improve machine learning model architectures, conduct on-device benchmarking, and drive hardware/software co-optimization efforts.
This is an opportunity to impact millions of users worldwide through Google's hardware products. The role involves working with cutting-edge technology in machine learning acceleration, system architecture, and performance optimization. The position offers the chance to work with Google's industry-leading AI and hardware teams, contributing to innovations that push the boundaries of what's possible in consumer technology.
The role requires a strong background in electrical engineering or computer science, with specific expertise in chip design, machine learning systems, and performance analysis. The successful candidate will need to balance technical depth with cross-functional collaboration skills, working across teams to deliver optimal solutions for Google's hardware products.
Responsibilities For SoC Senior System Performance and Architecture Engineer, Silicon
- Collaborate with cross-functional teams for performance, power analysis results in both qualitative and quantitative fashion, especially in the Machine learning (ML) area on Tensor Processing unit (TPU)
- Study the behavior and characterization of workloads on devices to explore opportunities for Hardware/Software co-optimization
- Participate in both evaluations of future ASIC architecture and software optimization
Requirements For SoC Senior System Performance and Architecture Engineer, Silicon
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 5 years of experience with chip industry
- 3 years of experience in machine learning or Tensor Processing Unit (TPU)
- Experience in cooperating with cross teams in chip design cycles from pre-silicon to post-silicon and workload analysis on the devices
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