Software Engineer III, TPU Performance, Hardware and Software Codesign

Google Inc.; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Software Engineer III for TPU Performance, Hardware and Software Codesign in Sunnyvale, CA. You will bridge ML workloads with TPU hardware, optimizing distributed systems and compiler architectures to improve TPU adoption and performance.

Collaborating with Google Cloud and YouTube teams, you will deliver scalable performance analyses, guide roadmap decisions, and influence the next generation of ML infrastructure. Strong programming and systems knowledge are required.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with computer architecture, performance analysis, and performance modeling.
• Master's degree or PhD in Computer Science or related fields.

Responsibilities

• Develop and scale benchmarking and workload characterization strategies to enable fast grounding-to-silicon, root-cause performance analysis, and TPU mapping optimization.
• Drive full-stack hardware-software co-design to optimize current and future ML accelerator architectures for business-critical production models (e.g., LLMs and embedding models).
• Partner with Product Areas to scale key workload pipelines efficiently during TPU Pilot and GA transitions.
• Build and upgrade compiler-aware simulator tools, hardware cost-models, and performance-ladder pathways to baseline and project physical silicon capabilities.
• Distill complex performance analyses and hardware trade-offs into presentations to guide TPU roadmap decision-making in core leadership forums.

Skills

Software development

Performance analysis

Computer architecture

Visualization tools

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD preferred

Tools

XLA

TPU

Job description

Software Engineer III, TPU Performance, Hardware and Software Codesign

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Google place Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Software Engineer III, TPU Performance, Hardware and Software Codesign

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with computer architecture, performance analysis, and performance modeling.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.

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.

In this role, you will bridge the gap between ML workloads and custom Tensor Processing Unit (TPU) hardware. You will analyze and optimize how distributed systems, compiler architectures—such as Accelerated Linear Algebra (XLA)—and emerging software abstractions, such as Compound AI and multi-step agentic systems, execute across Google’s AI infrastructure.You will collaborate with various product area architects within Google, such as Google Cloud and YouTube, and external customers to systematically onboard novel workloads with engaged performance. Your optimizations will directly drive TPU adoption, secure pre-sales engagements, and shape our future ML infrastructure roadmap.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

In this role, you will bridge the gap between ML workloads and custom Tensor Processing Unit (TPU) hardware. You will analyze and optimize how distributed systems, compiler architectures—such as Accelerated Linear Algebra (XLA)—and emerging software abstractions, such as Compound AI and multi-step agentic systems, execute across Google’s AI infrastructure.You will collaborate with various product area architects within Google, such as Google Cloud and YouTube, and external customers to systematically onboard novel workloads with engaged performance. Your optimizations will directly drive TPU adoption, secure pre-sales engagements, and shape our future ML infrastructure roadmap.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Develop and scale benchmarking and workload characterization strategies to enable fast grounding-to-silicon, root-cause performance analysis, and TPU mapping optimization.
• Drive full-stack hardware-software co-design to optimize current and future ML accelerator architectures for business-critical production models (e.g., LLMs and embedding models).
• Partner with Product Areas (e.g., YouTube and Ads) to scale key workload pipelines efficiently (Perf/$/Watts) during TPU Pilot and General Availability (GA) transitions.
• Build and upgrade compiler-aware simulator tools, hardware cost-models, and performance-ladder pathways to baseline and project physical silicon capabilities.
• Distill complex performance analyses and hardware trade-offs into presentations to guide TPU roadmap decision-making in core leadership forums (e.g., ArchForums, NPI, BCR reviews, and TdJs).

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 .

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.

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.