Senior / Staff SoC Platform Software Engineer – AI Accelerator (NSP)

优缺点分析

角色解读

• Become a platform architect specializing in AI accelerators and heterogeneous computing.
• Move into technical leadership roles (Staff, Principal Engineer) or management of embedded platform teams.
• Expand into hardware-software co-design or system-level performance optimization for future AI chips.
• Develop and maintain the core platform for Qualcomm's Neural Signal Processor (NSP), including low-level drivers and inter-processor communication (IPC) mechanisms.
• Integrate the NSP into ARM-based heterogeneous SoCs, enabling coordination between Linux and RTOS in multi-core environments.
• Design and implement debugging, profiling, and crash analysis tools to support platform development and validation.
• Manage memory allocation and optimize performance for AI accelerator workloads.
• Proficiency in C and embedded software development, with deep understanding of ARM architecture and SoC integration.
• Experience with IPC concepts such as RPC and RPMsg, and familiarity with RTOS thread/memory management.
• Strong debugging skills across hardware/software boundaries, including use of JTAG, ETM, and crash dump analysis.
• Knowledge of device tree, BSP, and Linux kernel fundamentals.

申请策略

• Prepare a portfolio of past embedded projects or open-source contributions.
• Research Qualcomm's NSP and AI accelerator roadmap to demonstrate genuine interest.
• Emphasize experience with embedded C, ARM architecture, and SoC integration.
• Highlight any work with IPC mechanisms (RPC, RPMsg) and RTOS (e.g., FreeRTOS, ThreadX).
• Showcase debugging skills with tools like JTAG, ETM, crash dumps, and profiling.
• Include details of memory management, device driver development, and BSP work.
• Brush up on Linux kernel internals, especially device tree and driver models.
• Practice with performance profiling tools (PMU, ftrace) and crash analysis techniques.

面试指南

• Use structured problem-solving: describe the problem, your analysis, the solution, and results.
• For design questions, outline trade-offs and justify your choices with examples.
• Highlight cross-functional collaboration and systematic debugging approaches.
• Explain how you would implement inter-processor communication between a Linux host and an RTOS core.
• Describe a challenging debug scenario you encountered that involved both hardware and software issues.
• How do you approach memory management in a heterogeneous multi-core system?
• What experience do you have with profiling and optimizing embedded software?
• Can you walk through the boot process of an ARM SoC and the role of device tree?