Staff Infra Engineer, Autonomous Driving Platform

Didi Labs; San Jose (CA); Hybrid; USD 170,000 - 339,000; Full time

Job summary

DiDi Autonomous Driving in San Jose, CA is seeking a Sr./Staff Software Engineer, Infrastructure to lead architecture for high-throughput IPC messaging and runtime engines in our autonomy stack. You will own build toolchains, compilers like ccatch, and distributed caching to accelerate developer velocity.

You will also architect robust simulation platforms (ezsim), post-mortem tools, and performance profiling to reduce latency and improve reliability on embedded hardware.

Qualifications

• Bachelor’s or higher degree in Computer Science, Computer Engineering, Software Engineering, or a closely related technical field.
• 6-10+ years of software engineering experience designing, architecting, and maintaining complex real-time systems, Linux systems infrastructure, or autonomous driving platforms in C++.
• Proven track record of technical leadership, system architecture, and driving complex, multi-team engineering initiatives from inception to production deployment.
• Expert-level understanding of C++, system programming, multi-threading, concurrency models, and low-latency IPC/middleware architectures.
• Deep knowledge of compiler internals (Clang/GCC, LLVM), build systems (Bazel/CMake), and compilation optimization tools (including caching systems like ccatch).
• Proven capability in debugging complex system-level faults, kernel/user-space crashes, memory corruption, and race conditions.

Responsibilities

• Lead the architectural vision, design, and implementation of next-generation, low-latency, high-throughput IPC messaging middleware and runtime execution engines for onboard systems.
• Own end-to-end build infrastructure, toolchains, and compiler execution strategies (including ccatch and distributed build caching) to optimize developer velocity and software deployment pipelines.
• Architect robust, deterministic simulation platforms (ezsim) and build automated post-mortem diagnostic toolchains for rapid simulator crash triaging, core dump analysis, and systemic fault isolation.
• Drive cross-functional performance profiling, memory optimization, and latency reductions across the full autonomous driving software stack on embedded hardware platforms.
• Act as a crucial infrastructure domain expert for onboard teams, guiding software design for maximum efficiency, flexibility, scalability, and reliability across our evolving autonomy stack.
• Continuously elevate internal development tools, diagnostic systems, and engineering workflows to maximize developer velocity while maintaining tight control over system complexity and runtime stability.
• Technical leadership: Mentor engineers, set high engineering standards, lead technical design reviews, and establish foundational architecture guidelines across cross-functional teams.

Skills

C++

Linux

Multi-threading

IPC/middleware

Debugging complex faults

Education

Bachelor’s or higher in CS/CE/SE

Tools

Clang/GCC

LLVM

Bazel

CMake

Job description

DiDi Autonomous Driving in San Jose, CA is seeking a Sr./Staff Software Engineer, Infrastructure to lead architecture for high-throughput IPC messaging and runtime engines in our autonomy stack. You will own build toolchains, compilers like ccatch, and distributed caching to accelerate developer velocity.

You will also architect robust simulation platforms (ezsim), post-mortem tools, and performance profiling to reduce latency and improve reliability on embedded hardware.