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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 frontier LLM ecosystems and commercial AI platforms.
  • Own the architecture of a unified distributed AI platform covering 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 such as AI DevOps and AI Copilots.
  • Design and implement 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 roadmap for AI infrastructure and connect external AI and systems innovations with internal engineering systems.
  • Write core code, debug deep system issues, optimize low-level execution paths, and influence engineering teams toward AI-first development.

Requirements

  • Demonstrated ability to design complex system-level architectures while remaining hands-on with core software engineering.
  • Proficiency in C++, Python, Java, or JavaScript.
  • Experience building technical authority and aligning Algorithms, Infrastructure, and Hardware teams without relying on formal administrative authority.
  • Experience leading or substantially contributing to a large-scale corporate AI-native transformation or building enterprise-grade AI/ML platforms from 0 to 1.
  • Hands-on deployment, tuning, and optimization experience with PyTorch, Ray, vLLM, Triton Inference Server, Kubernetes, DeepSpeed, and Megatron-LM.
  • Deep practical experience in distributed LLM training and inference optimization and large-scale compute cluster infrastructure and operations.
  • Preferred: familiarity with autonomous driving algorithms, robotics, physics-based simulation engines, or large-scale ML training and serving clusters.
  • Preferred: 8–10+ years of professional engineering experience in systems software, core cloud infrastructure, or production-grade machine learning platforms.
  • Preferred: experience building AI Copilot applications, autonomous multi-agent frameworks, or developer productivity platforms.
  • Preferred: experience delivering projects in complex, high-pressure, or mission-critical environments.
  • Preferred: contributions as an open-source maintainer or owner, technical author, blogger, paper author, or industry conference speaker.

Benefits

  • Full-time position with bonus, equity, and benefits in addition to base salary.

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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