Base Salary
$170k - $339k/yr
Responsibilities
- Lead the architecture, design, and implementation of low-latency, high-throughput IPC messaging middleware and runtime execution engines for onboard systems.
- Own build infrastructure, toolchains, compiler execution strategies, ccatch, and distributed build caching to improve developer velocity and deployment pipelines.
- Architect deterministic simulation platforms such as ezsim and automated post-mortem diagnostic toolchains for simulator crash triage, core-dump analysis, and fault isolation.
- Drive performance profiling, memory optimization, and latency reductions across the autonomous-driving software stack on embedded hardware.
- Serve as an infrastructure domain expert for onboard teams and guide software design for efficiency, scalability, flexibility, and reliability.
- Improve internal development tools, diagnostic systems, and engineering workflows while maintaining runtime stability and system simplicity.
- Mentor engineers, establish engineering standards, lead technical design reviews, and define foundational architecture guidelines across teams.
Requirements
- 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 experience providing technical leadership, designing system architecture, and delivering complex multi-team engineering initiatives from inception through production deployment.
- Expert understanding of C++, system programming, multithreading, concurrency models, and low-latency IPC or middleware architectures.
- Deep knowledge of compiler internals including Clang, GCC, and LLVM; build systems including Bazel and CMake; and compilation optimization tools such as ccatch.
- Ability to debug system-level faults, kernel and user-space crashes, memory corruption, and race conditions.
- Preferred experience with simulation execution platforms, evaluation frameworks, and automated crash-triage pipelines for robotics or autonomous driving.
- Preferred expertise in embedded systems, cross-compilation targets such as QNX, Linux RT, and NVIDIA Orin, and hardware-acceleration integrations.
- Preferred experience with low-level systems profiling using tools such as eBPF and gperf, customized memory allocators, or custom IPC protocol design.
- Preferred experience building developer-productivity tools, quantitative software-evaluation metrics, and root-cause analysis systems in complex robotic environments.
Benefits
- Full-time position with bonus, equity, and benefits.
About DiDi
DiDi Global Inc. is a leading mobility technology platform. It offers a wide range of app-based services across Asia Pacific, Latin America, and other global markets, including ride hailing, taxi hailing, designated driving, hitch and other forms of shared mobility as well as certain energy and vehicle services, food delivery, and intra-city freight services. DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry, and the communities to solve the world’s transportation, environmental, and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive, and sustainable transportation and local services ecosystem for cities of the future.