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DiDi Labs

Staff/Principal AI Transformation Engineer

DiDi Labs · San Jose, CA

Posted 16 days ago · $255,000 -$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
16 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 Staff/Principal AI Transformation Engineer at DiDi Autonomous Driving will lead the company's transition to an AI-native architecture, focusing on the integration of large language models and optimizing AI infrastructure. This role involves collaborating with core engineering teams to enhance AI capabilities, streamline operations, and ensure the AI platform remains competitive. The engineer will also be responsible for designing scalable automation pipelines and maintaining a forward-looking technical roadmap.

Our read on this posting4.0out of 5
benefits
1/5
freshness
4/5
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

  • Proven technical leader with architectural vision and hands-on execution skills
  • Proficiency in core programming languages such as C++, Python, Java, JavaScript
  • Experience leading or contributing to large-scale corporate AI-native transformations
  • Hands-on deployment, tuning, and optimization experience with AI infrastructure tools and frameworks like PyTorch, Kubernetes
  • Years of practical experience in distributed LLM training/inference optimization and large-scale compute cluster operations

Nice to have

  • Familiarity with autonomous driving algorithms and robotics
  • 8-10+ years of professional engineering experience in systems software or machine learning platforms
  • Experience building custom AI Copilot applications or multi-agent frameworks
  • Success in delivering projects in complex, fast-paced environments
  • Active contributor to the tech community through open-source or technical publications

What you get

  • Base salary range of $255,000 - $351,000 annually
  • Bonus and equity options

Worth weighing

  • High-impact leadership role with significant responsibilities
  • No specific mention of remote work or flexibility in work location
  • Salary range provided, but individual pay depends on various factors
  • Complexity of the role may require navigating fast-paced environments

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.

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