The Senior Software Engineer, Performance, SOC Architect role at Google focuses on improving machine learning software and hardware stacks. The engineer will work on performance debugging for workloads and custom kernels, collaborating with various teams to enhance chip profiling requirements. This position requires a strong background in software development and computer architecture, as well as a passion for developer productivity. The role offers opportunities to work on critical projects that impact Google's technology landscape.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 3 years of experience with Computer Architecture, C++, Python, CUDA, GPU Programming, GPU Drivers, System On a Chip, Application-Specific Integrated Circuit.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Write and test product or system development code.
• Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows.
• Support new and exciting ML paradigms by making contributions across the end-to-end stack and analysis tools.
• Partner with Product Area leads to understand model optimization use cases and drive cross-functional efforts.
• Collaborate across Hardware, Driver, Runtime, and Performance Analysis teams and many other stakeholders.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.