Staff Software Engineer, Performance and Kernel, DeepMind

Job 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. Minimum Qualifications: 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. Preferred Qualifications: 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.