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# Software Engineer, Hardware Accelerators Performance, GeminiApp, DeepMind

- **Company:** Google LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $147,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Data Structures, Microprocessors, Python (Programming Language), Machine Learning, Performance Tuning, Memory Leaks, Software Engineering, Graphics Processing Unit (GPU), Information Technology, Hardware Acceleration
- **Published:** August 22, 2026
- **Apply:** https://dejobs.org/x/x/42C29DF1A6BB4187836F017863811A43/job/

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 2 years of experience with software development in C++ or Python.
 * Experience with profiling tools (e.g., gProf, Valgrind, or VTune) for performance optimization.
 * Experience in software development for hardware accelerators (e.g., CPUs, GPUs, or TPUs), including memory-hierarchy or instruction-level tuning., * Master's degree or PhD in Computer Science or related technical fields.
 * 3 years of experience with advanced data structures, algorithms, and machine learning optimization.
 * Experience developing accessible technologies.

## Description

* 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.


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