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Staff/Principal AI Transformation Engineer

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Staff/Principal AI Transformation Engineer in USA new

  • San Jose, CA

Responsibilities

  • Lead evaluation, selection, and integration of LLM ecosystems and commercial AI platforms.
  • Architect a unified distributed AI platform spanning data processing, model training, inference pipelines, and evaluation frameworks.
  • Embed with autonomous driving engineering teams to identify bottlenecks and deliver production-ready internal AI ecosystems, including AI DevOps and AI Copilots.
  • Design resilient automation pipelines for LLM deployment, monitoring, and continuous feedback.
  • Optimize GPU cluster utilization, inference latency, throughput, and large-scale production infrastructure.
  • Define the technical vision and roadmap for AI infrastructure and connect external innovations with internal systems.
  • Influence Algorithms, Infrastructure, Hardware, and other engineering teams toward an AI-first engineering model without relying on formal authority.

Requirements

  • Proven ability to design complex system architectures while writing core code, debugging deep system issues, and optimizing low-level execution paths.
  • Proficiency in one or more core languages including C++, Python, Java, or JavaScript.
  • Experience leading or substantially contributing to an enterprise-scale AI-native transformation or building an enterprise-grade AI/ML platform from 0 to 1.
  • Hands-on experience deploying, tuning, and optimizing PyTorch, Ray, vLLM, Triton Inference Server, Kubernetes, DeepSpeed, and Megatron-LM or comparable tools.
  • Deep practical experience with distributed LLM training and inference optimization and large-scale compute cluster infrastructure and operations.
  • Demonstrated ability to align priorities and drive diverse engineering teams toward adoption of new technical paradigms.
  • Preferred: familiarity with autonomous driving algorithms, robotics, physics-based simulation engines, or ultra-large-scale ML training and serving clusters.
  • Preferred: 8–10+ years of professional engineering experience in systems software, core cloud infrastructure, or production machine learning platforms.
  • Preferred: experience building AI Copilot applications, autonomous multi-agent frameworks, or developer productivity platforms.
  • Preferred: experience steering delivery in complex, high-pressure, or mission-critical environments.
  • Preferred: contributions to the broader technology community through open source, technical writing, papers, or conference speaking.

Benefits

  • Full-time position with bonus, equity, and benefits in addition to base salary.
  • Annual base salary range of $255,000–$351,000, with pay determined by location, skills, experience, and education or training.
  • The posting includes a California Residents Privacy Notice.

Salary: $255k - $351k/yr

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 v...

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