# Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization at DiDi

- Company: DiDi
- What the company does: DiDi Global is the world's leading mobile transportation platform offering a full range of app-based services to users around the world. Backed by Techstars.
- Company website: https://web.didiglobal.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Jose, CA
- Work setup: On-site
- Pay: $170K to $351K base salary per year (USD)
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://job-boards.greenhouse.io/didi/jobs/8198302
- Page: https://www.1752.vc/careers/jobs/didi-senior-sr-staff-ai-infrastructure-engineer-inference-and-optimization/

## About the role

We are seeking an experienced and mission-driven Senior/Sr. Staff AI Infrastructure Engineer , Inference & Optimization to lead the performance tuning, deployment, and resource scheduling of cutting-edge AI models across on-vehicle and cloud infrastructure. In this role, you will design high-efficiency inference pipelines, build system-level stability frameworks, and optimize hardware execution to ensure ultra-low latency and rock-solid operational reliability.

## What they're looking for

- Master’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field
- 3-8+ years of industry experience in high-performance computing, AI infrastructure, model optimization, or embedded deployment
- Strong proficiency in C++ and Python, with solid expertise in parallel programming (CUDA, OpenMP) and low-level system profiling tools
- Deep familiarity with mainstream inference engines (e.g., TensorRT, ONNX Runtime) and specialized LLM inference/serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM)
- Practical understanding of modern GPU hardware architectures (e.g., NVIDIA Hopper, Thor) and memory bandwidth management
- Demonstrated ability to diagnose complex software-hardware integration issues and drive scalable, production-grade solutions

Tags: Artificial Intelligence