Senior Software Engineer, Performance, SOC Architect

Senior Software Engineer, Performance, SOC Architect Location: Sunnyvale, CA, USA

Experience Level: Mid

Apply In most instances, this position requires in-person interviews as part of the hiring process.

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 a 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 as 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 on 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, and ML graph summaries.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary Range: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.