> Markdown version of [/jobs/ext/4574127-performance-analysis-engineer](https://www.wearedevelopers.com/jobs/ext/4574127-performance-analysis-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Performance Analysis Engineer - **Company:** Apple Inc. - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Data Analysis, C++ (Programming Language), Software Debugging, Hardware Design, Python (Programming Language), SystemVerilog, Network Switches, Graphics Processing Unit (GPU) - **Published:** November 5, 2026 - **Apply:** https://www.totaljobs.com/job/performance-analysis-engineer/apple-job108279812 ## About the Role * Architecture knowledge of at least one of the main SoC components (GPU, CPU, Interconnect & Memory hierarchy). * Strong hardware and software debug skills. * Strong data analysis skills: able to relate performance data to HW architecture and behaviour. * Knowledge Python and/or C++ * Ability to work well in a multi-site team, capable of planning your own tasks, estimate deadlines and meet schedules. * Excellent communications skills, self-motivated and well organised * Knowledge on hardware design., * - Previous experience in performance analysis of complex systems and understanding trade-offs * - Experience in GPU architecture * - Experience on system verilog and simulation/emulation tools ## Description As a GPU Performance Analysis Engineer, your responsibilities will include: - Developing performance test plans to validate GPU performance- Analysing performance issues using micro benches and real life content (games, pro-apps etc) to identify hardware and software problems- Interacting with architecture, software and hardware engineers to identify bottlenecks and propose novel solutions for improved GPU performance- Developing studies to understand and quantify the performance benefit of features and algorithms implemented in hardware and software- Developing tools to aid in the efficient measurement, communication and improvement of GPU performance.