Senior Infrastructure Architect, Autonomous Driving Platform

Socket.dev; San Jose (CA); On-site; USD 170,000 - 339,000; Full time

Job summary

DiDi Autonomous Driving seeks an experienced Sr. Software Engineer / Staff Software Engineer, Infrastructure, to shape the core platform powering our autonomous driving stack.

You will define the architectural roadmap for low-latency IPC, build tooling, and simulation frameworks, collaborating with Autonomy and Simulation teams to boost stability and developer velocity at scale. Ideal candidates bring 6–10+ years in real-time/embedded systems with C++, deep compiler and build-system knowledge,

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++

Real-time systems

Linux systems

IPC/middleware

Multi-threading

System architecture

Technical leadership

Education

Bachelor’s or higher degree in CS/CE/SE

Tools

ccatch

Bazel

CMake

LLVM

Job description

DiDi Autonomous Driving seeks an experienced Sr. Software Engineer / Staff Software Engineer, Infrastructure, to shape the core platform powering our autonomous driving stack.

You will define the architectural roadmap for low-latency IPC, build tooling, and simulation frameworks, collaborating with Autonomy and Simulation teams to boost stability and developer velocity at scale. Ideal candidates bring 6–10+ years in real-time/embedded systems with C++, deep compiler and build-system knowledge,