$ cat jobs/sr-staff-software-engineer-infrastructure-autonomy-didi-labs-c77ab18edf0c.json
Sr. / Staff Software Engineer, Infrastructure (Autonomy)
About the Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About The Role We are seeking an experienced Sr. Software Engineer / Staff Software Engineer, Infrastructure to lead the architecture and evolution of the core platform powering our autonomous driving software stack. In this role, you will define the technical roadmap for our high-performance middleware, custom compiler infrastructure (including ccatch), onboard toolchains, and large-scale simulation frameworks (ezsim and automated crash triage). As a technical leader, you will collaborate closely with Autonomy and Simulation teams to maximize platform stability, enforce systemic engineering standards, and accelerate cross-team developer productivity at scale. 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 acr