Software Engineer, Hardware Accelerators Performance, GeminiApp, DeepMind

Google DeepMind - Mountain View, CA

Hiring: Software Engineer, Hardware Accelerators Performance, GeminiApp, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-13 11:02:07 Target Skills & Keywords : AI, C++, Machine Learning, Python About the job Experience: •2 years of experience with software development in C++ or Python. •3 years of experience with advanced data structures, algorithms, and machine learning optimization. Required Skills: •Learn more about benefits at Google . •Improve the training and serving efficiency of Gemini models on hardware accelerators (TPUs and GPUs), spanning model configurations, execution runtimes, and dedicated compiler passes. •Profile large-scale distributed workloads to diagnose compute, memory, and communication bottlenecks, identifying high-impact optimization opportunities. •Design and implement high-performance, low-level custom kernels for critical model operators to unlock peak hardware utilization. •Build and maintain automated benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against performance regressions. •Influence next-generation accelerator architectures and compiler roadmaps by feeding back empirical workload profiles and model requirements. Qualifications: •Bachelor’s degree or equivalent practical experience. •Master's degree or PhD in Computer Science or related technical fields. •We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •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 Compensation: •US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!