Accelerator Architect and Performance Engineer, Generative AI - San Diego California

Company: Google
Location: San Diego, California
Posted On: 07/02/2025

Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of work or academic research experience in computer or chip architecture, performance, or compiler. Experience with Generative AI model architectures (e.g., Large Language Models, Vision Transformers, Image Diffusion Models, etc.). Experience with one or more general purpose programming languages including (but not limited to) C/C++ or Python and deep learning frameworks like TensorFlow/Jax/Pytorch. Preferred qualifications: Masters degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with domain-specific accelerators. Experience with distributed/parallel programming. Experience with hardware/software co-design for machine learning. Experience with simulator development and micro-architecture. Excellent communication skills. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles direct-to-consumer products. Youll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Googles mission is to organize the worlds information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make peoples lives better through technology. The US base salary range for this full-time position is $183,000-$271,000 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 Drive forward-looking GenAI machine learning architecture exploration for Tensor mobile SoCs while collaborating with research teams, system architecture teams, and compiler engineers to optimize future workloads from both all perspectives across the tech stack including hardware, software, use case, network, and external components. Work with researchers and program management teams to define system architecture requirements for future Generative AI use cases. Apply advanced research in architecture and process technology to get breakthrough power and performance improvements on Generative AI workloads. Optimize performance of GenAI use cases by defining an optimal model scheduling on the TPU compute engines. More...

Register an account with us and set up job agents! We'll email you immediately when jobs like this are posted on our site.