Lead System Performance Engineer ID219677

该职位来源于猎聘 Objective

• Lead a small-scale outsourcing engineer team(3-5 members) in project delivering, including: compiling software requirements, preparing technical solutions, task breakdown and allocation, tracking delivery progress and quality, supporting the team leader in managing the performance of outsourcing engineers.
• Define performance benchmarks, metrics, and goals for cockpit infotainment systems.
• Identify and resolve performance bottlenecks across the entire software stack, from application layer to low-level system services.
• Collaborate with cross-functional teams to ensure performance requirements are met throughout the product development lifecycle.
• Drive innovation in performance optimization techniques to enhance system responsiveness, boot time, graphics rendering, and power efficiency.
• Provide technical leadership and guidance in performance engineering best practices. Design a vehicle-side service governance solution, including service routing, load balancing, and fault tolerance mechanisms, to ensure high reliability of services in the embedded automotive environment Tasks:
• Lead performance architecture design, including the selection and integration of profiling tools, data collection frameworks, and analysis pipelines
• Conduct in-depth system-level profiling using a combination of kernel-space and user-space tools (perf, eBPF/BCC, Ftrace, Intel VTune, Graphics Performance Analyzers, custom instrumentation).
• Create detailed performance models to simulate and predict the impact of new features, hardware changes, or architectural decision.
• Author technical documentation, including performance design specifications, analysis reports, and optimization guidelines.
• Collaborate with BSP teams to optimize board support package components, device driver performance (display, audio, GPU, touch), and hardware abstraction layer (HAL) efficiency.
• Design and implement kernel-level optimizations related to CPU frequency scaling (cpufreq), task scheduling (CFS, EAS, PREEMPT_RT), memory management (cgroups, zram, page cache), and I/O scheduling for storage devices (e.g., UFS, eMMC).
• Communicate and coordinate resources outside the team to participate in performance work.
• Train and cultivate young engineers in the field of performance. Education:
• Bachelor degree or above, major in electrical engineering, computer sciences, automation, mechatronics, vehicle engineering, electronics or software Experience:
• 7+ years of experience in system performance engineering, with at least 3 years focused on Linux-based embedded systems (automotive IVI, smartphones, or similar consumer electronics). Knowledge:
• Deep understanding of operating systems (Linux/QNX/Android Automotive), real-time systems, and hardware-software interaction.
• Expertise extends beyond solving isolated issues to planning and implementing a comprehensive performance strategy encompassing goal definition, standardized processes, toolchain development, and fostering a performance-oriented culture.
• Hands-on experience in designing, integrating, or developing a unified performance analysis platform/toolchain. Ability to correlate, visualize, and automate the analysis of disparate data sources (application, system, kernel, hardware metrics, traces, logs) to enhance the entire team's troubleshooting efficiency.
• In-depth understanding of the Android system architecture, including core frameworks, system services (ActivityManager, WindowManager, PowerManager), and the Binder IPC mechanism.
• Proven experience in profiling and optimizing Android graphics and UI performance: deep knowledge of the rendering pipeline (Choreographer), SurfaceFlinger, HWUI, and View hierarchy optimization. Experience with GPU Rendering Profiling and Profile GPU Rendering tools.
• Experience with Android boot and startup optimization, including analysis of bootchart, init.rc sequences, and Zygote/SystemServer startup.
• Strong expertise in performance profiling and analysis tools (e.g., Perfetto, Systrace, GTK, Intel VTune).
• Proven experience in optimizing boot time through bootloader, kernel, and initramfs/userspace analysis.
• Proficiency in programming languages such as C++, C, or Java, with experience in low-level optimization.
• Excellent analytical, problem-solving, and communication skills.