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# Staff Software Engineer, Performance and Kernel, DeepMind

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Structures, Linux Kernel, Machine Learning, Performance Tuning, Software Architecture, Software Engineering, Computer Networking Systems, Information Technology, Production Code
- **Published:** August 1, 2026
- **Apply:** https://dejobs.org/x/x/B783346F6D9941A196D459F7B1C413D8/job/

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 8 years of experience in software development.
 * 5 years of experience testing, and launching software products.
 * 5 years of experience in power or performance modeling or system performance analysis.
 * 5 years of experience with Linux Kernel development and software and hardware architecture.
 * 3 years of experience with software design and architecture., * Master's degree or PhD in Engineering, Computer Science, or a related technical field.
 * 8 years of experience with data structures and algorithms.
 * 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
 * 3 years of experience in a technical leadership role leading project teams and setting technical direction.
 * Deep expertise in at least some of the following: operating systems, networking systems, storage systems, analytics, machine learning, working with distributed query processing and deep functional flows.

## Description

* Write low-level performance software for a new systolic array accelerators.
 * Identify high-value algorithms and problems that are a match to this new machines.
 * Use that direct experience delivering production code to build programming infrastructure to ease programming on the new accelerator for the performance software engineers and general software engineers who follow.
 * Collaborate with application, algorithm, and performance-tuning experts to codesign solutions for the best efficiency, performance, and programmability.
 * Communicate the performance, programmability, and efficiency results to our team and to our partner teams.


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