Performance SOC Architect for ML Hardware

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on machine learning software/hardware stacks, providing insightful performance debugging for workloads and custom kernels.

You will summarize trace timelines, memory usage, and compiler profiles to drive improvements. Individual pay is determined by factors including job-related skills, experience, and relevant education or

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more languages.
• 3 years in performance, large-scale systems data analysis, or debugging.
• 3 years in Computer Architecture, C++, Python, CUDA, GPU programming, or related technologies.
• 3 years in testing/maintaining/launching software products with 1 year in design/architecture.

Responsibilities

• Write and test product or system development code.
• Learn data collection, analysis, and visualization workflows.
• Support ML paradigms with end-to-end stack contributions.
• Collaborate with Product Area leads to understand model optimization use cases, and hardware profiling requirements.
• Collaborate across Hardware, Driver, Runtime, and Performance Analysis teams.

Skills

Software development

Performance analysis

Data visualization

Debugging

C++

Python

CUDA

GPU programming

GPU drivers

SoC

ASIC

Software testing

Software architecture

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on machine learning software/hardware stacks, providing insightful performance debugging for workloads and custom kernels.

You will summarize trace timelines, memory usage, and compiler profiles to drive improvements. Individual pay is determined by factors including job-related skills, experience, and relevant education or