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DiDi Labs

Staff/Principal AI Transformation Engineer

DiDi Labs · San Jose, CA

Posted 5 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
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 Staff/Principal AI Transformation Engineer at DiDi Autonomous Driving will lead the company's transition to an AI-native architecture by integrating advanced AI technologies into their operations. This role involves designing AI infrastructure, optimizing deployment pipelines, and collaborating with core engineering teams to enhance AI capabilities in autonomous driving. The engineer will also monitor industry trends to maintain a competitive edge in AI technology.

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

  • Proven technical leader with experience in designing complex system-level architectures
  • Proficiency in core programming languages such as C++, Python, Java, JavaScript
  • Demonstrated ability to influence cross-functional engineering teams toward an AI-first paradigm
  • 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
  • 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 autonomous 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 opportunities
  • Comprehensive benefits package

Worth weighing

  • The role requires a strong blend of technical leadership and hands-on coding skills
  • The position is highly strategic and may involve navigating complex organizational dynamics
  • No specific information on remote work or flexible hours is provided

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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