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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, GPU Performance - **Company:** Google LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $174,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Code Generation, Nvidia CUDA, Data Structures, Distributed Systems, Design of User Interfaces, Push Technology, Information Retrieval, Machine Learning, Natural Language Processing, Software Architecture, Software Engineering, Systems Architecture, Graphics Processing Unit (GPU), Data Storage Technologies, Large Language Models, Gpu Programming, Information Technology, Search Engines, Programming Languages - **Published:** July 16, 2026 - **Apply:** https://www.juju.com/job/00000000ggqbh5 ## About the Role + Bachelor's degree or equivalent practical experience. + 5 years of experience with software development in one or more programming languages. + 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. + Experience with modern GPU architectures (NVIDIA, AMD, or other AI accelerators), memory hierarchies, and performance bottlenecks. + Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques. + Experience with modern LLMs and their deployment on AI accelerators. 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 compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). ## Description 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. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier within Google's machine learning infrastructure. GPUs are indispensable to Google's ever-evolving landscape for strategic, pragmatic, and performance-driven reasons - ensuring top performance for our ML models, adapting to ML workloads, achieving results, and influencing next-gen GPU architectures via strategic partnerships., + Build optimizations for the latest generation of GPUs that power Google's most critical products and services, impacting billions of users worldwide. + Address the most challenging performance bottlenecks through Google's unparalleled access to the latest generation of GPUs, tooling, and a decade of experience building AI accelerators. + Drive optimizations across Google's GPU software stack from ML compiler cost model design to optimizing high performance GPU kernels to cross node model serving configurations. + Influence the technical direction of the GPU software ecosystem at Google by collaborating with ML, compiler design, and systems architecture teams. + Influence the deployment of Google's GPU fleet by working with various product teams across Google. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Writing a full-text search engine in TypeScript](https://www.wearedevelopers.com/videos/504-writing-a-full-text-search-engine-in-typescript) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks](https://www.wearedevelopers.com/videos/1293-the-weekly-developer-show-boosting-python-with-cuda-css-updates-navigating-new-tech-stacks) - [SEO in Angular? 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