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DiDi Labs

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

DiDi Labs · San Jose, CA

Posted 5 days ago · $169,783 - $351,000

or apply directly on DiDi Labs's site. We never take the application ourselves.

Is this posting real?

This role has been open
5 days
DiDi Labs's roles stay open a median of 17 days
Reposted
No
Salary listed
Yes
88% of DiDi Labs's roles list one
Ghost-job risk at DiDi Labs
low
0 stale, 0 reposted of 16 open
Hiring momentum
25 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from DiDi Labs's own greenhouse board since 2026-08-03. Full hiring picture for DiDi Labs.

About this role

The Senior/Sr. Staff AI Infrastructure Engineer will focus on optimizing and deploying AI models for autonomous vehicles, ensuring high efficiency and low latency. Responsibilities include designing inference pipelines, conducting system stability initiatives, and collaborating with various teams to enhance model performance and reliability.

Our read on this posting4.4out of 5
benefits
2/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DiDi Labs as an employer.

What you need

  • 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
  • Solid expertise in parallel programming (CUDA, OpenMP) and low-level system profiling tools
  • Deep familiarity with mainstream inference engines (e.g., TensorRT, ONNX Runtime)
  • Practical understanding of modern GPU hardware architectures (e.g., NVIDIA Hopper, Thor)

Nice to have

  • Hands-on experience optimizing and deploying AI models on the NVIDIA Thor platform
  • Proven track record of serving large foundation models (e.g., LLaMA, Qwen, GPT) in production
  • Background in deep learning training frameworks (PyTorch)
  • Experience deploying real-time, high-availability AI workloads in autonomous vehicles, robotics, or edge devices

What you get

  • Base salary range of $169,783 - $351,000 annually
  • Bonus
  • Equity
  • Benefits

Worth weighing

  • Salary range is quite broad, which may indicate variability based on experience and negotiation
  • Focus on cutting-edge AI technology may require continuous learning and adaptation
  • Role involves significant technical leadership and cross-functional collaboration, which may be demanding

Summarised from DiDi Labs's posting. Read the full original.

Listed by DiDi Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at DiDi Labs

All 16 open roles at DiDi Labs →

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