Senior Software Engineer, Ml/ai, Performance

Senior Software Engineer

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.

The role of Performance Engineer is to improve and validate overall ML performance projections and validations across key workloads, software stack and hardware (GPU, TPU, system). You interact with product groups, software and hardware teams, and research. You develop custom software tools for performance projections, validations, cost metrics, benchmarking, profiling, analysis and reporting. You will contribute to innovations and contributions to advanced Artificial Intelligence (AI) and agentic approaches to Hardware/Software (HW/SW) co-design.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Responsibilities

• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Build, maintain and validate HW/SW tooling to enable reliable and fast evaluation of options and solutions for ML/AI infrastructure (C++, Python).
• Build and maintain tools and methods to measure, visualize and analyse ML HW/SW performance.
• Define, implement and validate performance and cost metrics relevant for existing and future workloads and systems.
• Collaborate with other teams (hardware, compiler, ML research) to improve the end to end flow and results.

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.

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