Senior Software Engineer, Performance, SOC Architect

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

Minimum qualifications:

• 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.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with GPU or TPU performance analysis, and a passion for developer productivity.
• Experience with ML frameworks such as TensorFlow, JAX, and PyTorch, or ML compilers such XLA.
• Proven track record in open-source software development, including experience in releasing and supporting open-source projects.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a part of this team, you will be focused around driving continuous improvements to the machine learning software/hardware stacks through providing insightful performance debugging for workloads and custom kernels. You will provide insights by summarizing different views of captured profile data such as trace timelines, memory usage, Compiler profiles, ML graph summaries.

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

Responsibilities

Learn more about benefits at Google .

• 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 (such as horizontal scaling for upcoming TPU chips) by making contributions across the end-to-end stack and analysis tools.
• Partner with Product Area leads to understand model optimization use cases, drive cross functional efforts to deliver on chip profiling requirements, and propose new hardware features.
• Collaborate across Hardware, Driver, Runtime, and Performance Analysis teams and many other stakeholders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .