Software Engineer III, Performance

Software Engineer III, Performance

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corporate_fareGoogleplaceMountain View, CA, USA

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Mid

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

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Minimum 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 computer architecture, performance analysis, and performance modeling.

• Experience experimenting with AI agents or LLM-powered agentic workflows.

• Experience in systems engineering.

Preferred qualifications:

• Masters degree or PhD in Computer Science or related technical fields.

• Experience with low-level accelerator programming (e.g., CUDA, Triton, Pallas) and performance tuning techniques.

• Experience with machine learning, compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc).

• Debugging experience to improve performance of single-mode or multi-mode (distributed) systems.

• Expertise in tailoring algorithms and ML models to exploit ML accelerator architecture strengths and minimize weaknesses.

• Deep understanding of modern ML accelerator architectures (Nvidia/AMD GPUs, TPUs, Trainium, Cerebras, etc.), memory hierarchies, and performance bottlenecks.

About the job

Googles 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. Were 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.

Our team is delivering state-of-the-art performance on OSS models to showcase the capabilities TPUs, to both in industry competitions and to optimize these models so our public customers can leverage the optimization recipes in their own models.

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

Learn more about benefits at Google.

Responsibilities

• Write product or system development code. Manually optimize models, using state-of-the-art techniques (sharding, quantization, custom kernels).
• Develop principles from manual optimizations which can be automated via agentic AI (e.g., compute, communication, scheduling, or quantization cost models).
• Land identified principles and recipes to build scalable solutions, for example, by collaborating with the compiler team on cost modeling or by building agentic tooling for headroom analysis.
• Create scalable solutions to serve the third-party customer base by improving out-of-the-box software performance and open-sourcing tooling to external customers.
• Develop trend analysis to identify performance issues in yet-unseen models, solving performance problems before they occur. While maintaining model benchmarks to ensure tracking of performance wins.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.